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Table of ContentsMathematics

Algebra ..........................................................................................................................................................................3

Algebraic Geometry & Number Theory ...........................................................................................................................4

Algorithms & Complexity ................................................................................................................................................5

Applied Mathematics .......................................................................................................................................................7

Combinatorics & Discrete Mathematics ...........................................................................................................................8

Differential Equations & Nonlinearity .............................................................................................................................13

Game Theory ................................................................................................................................................................17

General & Introductory Mathematics ............................................................................................................................17

Geometry & Topology ...................................................................................................................................................19

Mathematical Modeling ................................................................................................................................................21

Mathematics & Computational Imaging ........................................................................................................................22

Mathematics for Biology & Medicine .............................................................................................................................23

Mathematics for Engineering .........................................................................................................................................25

Mathematics for Finance ...............................................................................................................................................30

Mathematics for Physics ................................................................................................................................................33

Numerical Analysis & Mathematical Computation .........................................................................................................35

Operations Research ......................................................................................................................................................38

Probability Theory & Applications..................................................................................................................................40

Real, Complex, & Functional Analysis ............................................................................................................................41

Recreational Mathematics & Popular Science ................................................................................................................43

Set Theory & Logic ........................................................................................................................................................45

Statistics

Bioinformatics & Statistical Genetics .............................................................................................................................47

Biostatistics & Epidemiology ..........................................................................................................................................50

Computational Statistics ................................................................................................................................................57

Environmental Statistics .................................................................................................................................................60

Introductory Statistics & General References ..................................................................................................................62

Probability Theory & Applications..................................................................................................................................65

SPC/Reliability/Quality Control ......................................................................................................................................66

Statistical Learning & Data Mining ................................................................................................................................67

Statistical Theory & Methods .........................................................................................................................................71

Statistics for Business, Finance, & Economics .................................................................................................................84

Statistics for Engineering & Physical Science ..................................................................................................................87

Statistics for Life Sciences ...............................................................................................................................................88

Statistics for the Social & Behavioral Sciences ................................................................................................................89

Title Index .............................................................................................................................................................................93

Author Index .........................................................................................................................................................................97

Sales Agents ........................................................................................................................................................................103

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Handbook of Linear AlgebraSecond EditionEdited by

Leslie HogbenIowa State University, Ames, USASeries: Discrete Mathematics and Its Applications

Updated and expanded, the second edition of this bestseller provides comprehensive coverage of linear algebra concepts, applications, and computational software packages in an easy-to-use handbook format. It guides readers from the very elementary aspects of the subject to the frontiers of current research. The book encompasses the fundamentals of linear algebra, combinatorial and numerical linear algebra, and applications of linear algebra to various disciplines. It also describes software packages for linear algebra computations, including MATLAB®, Maple™, and Mathematica®.

Print ISBN: 978-1-4665-0728-9 November 2013, 7 x 10, 1752 pp. Suggested Price: $169.95 / £108.00

Group Inverses of M-Matrices and Their ApplicationsStephen J. KirklandNational University of Ireland, Maynooth

Michael NeumannStorrs, Connecticut, USASeries: Chapman & Hall/CRC Applied Mathematics & Nonlinear Science

Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes, graph theory, electrical networks, and demographic models. Collecting diverse results into a single volume, this self-contained book highlights the importance and utility of the group inverses of M-matrices in several application areas. The authors emphasize the connections between problems arising in Markov chains, Perron eigenvalue analysis, and spectral graph theory. They show how group inverses offer valuable insight into each of these areas.

Print ISBN: 978-1-4398-8858-2 eBook ISBN: 978-1-4398-8859-9 December 2012, 6-1/8 x 9-1/4, 332 pp. Suggested Price: $104.95 / £66.99

Textbook

Galois TheoryThird EditionIan StewartUniversity of Warwick, Coventry, UKSeries: Chapman & Hall/CRC Mathematics

This edition brings the presentation in line with more modern approaches. While preserving and extending the most popular features of the previous editions, the author reorganized the material to place the concrete before the abstract. He also added more technical history, incorporated several newer proofs, and revived some classical topics. There is simply no more engaging, no more accessible, no more outstanding introduction to the intriguing concepts of abstract algebra than this book. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-58488-393-7 July 2003, 6-1/8 x 9-1/4, 328 pp., Soft Cover Suggested Price: $67.95 / £43.99

Textbook

A First Course in Abstract AlgebraRings, Groups and Fields, Second EditionMarlow AndersonThe Colorado College, Colorado Springs, USA

Todd FeilDenison University, Granville, Ohio, USA

Taking a more natural approach than other texts, this book begins with ring theory, building on students’ familiarity with integers and polynomials. It introduces groups later, when students have gained more experience. Each section of the book ends with a synopsis of important definitions and theorems. Each chapter includes quick exercises designed to be worked as the text is read. Problem sets at the end of each chapter begin with warm-up exercises that test fundamental comprehension, followed by regular exercises, and both computational and proof problems. Hints and answers are provided at the end of the book.

Print ISBN: 978-1-58488-515-3 eBook ISBN: 978-1-4822-1736-0 January 2005, 6-1/8 x 9-1/4, 696 pp. Suggested Price: $93.95 / £37.99

Algebras, Graphs and their ApplicationsIlwoo ChoSaint Ambrose University, Davenport, Iowa, USA

This book introduces the study of algebra induced by combinatorial objects called directed graphs. These graphs are used as tools in the analysis of graph-theoretic problems and in the characterization and solution of analytic problems. The book presents recent research in operator algebra theory connected with discrete and combinatorial mathematical objects. It also covers tools and methods from a variety of mathematical areas, including algebra, operator theory, and combinatorics, and offers numerous applications of fractal theory, entropy theory, K-theory, and index theory.

Print ISBN: 978-1-4665-9019-9 September 2013, 6-1/8 x 9-1/4, 444 pp. Suggested Price: $99.95 / £63.99

Textbook

Abstract AlgebraAn Inquiry Based ApproachJonathan K. Hodge, Steven Schlicker, and Theodore A. SundstromGrand Valley State University, Allendale, Michigan, USASeries: Textbooks in Mathematics

This text takes an active learning approach to teaching abstract/modern algebra at the advanced undergraduate level. Each abstract algebra investigation in the book begins with one or more preview activities to ensure that students are ready to begin the investigation. Additional activities help students discover and prove many important concepts in group and ring theory. Rings and groups are covered independently so instructors have flexibility in choosing which topic to teach first. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-6706-1 December 2013, 7 x 10, 597 pp. Suggested Price: $99.95 / £49.99

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Introduction to Algebraic GeometryJustin SmithDrexel University, Philadelphia, Pennsylvania, USASeries: Textbooks in Mathematics

Unlike other books on algebraic geometry, this text includes applications from various areas of mathematics, biology, and physics. Designed for advanced undergraduate and graduate students with an applied mathematics background, the book develops most of the necessary commutative algebra. It describes all of the algebraic and geometric concepts required for understanding algebraic geometry. The author also presents a very recent and simpler proof of the dimension of an affine variety. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-7246-1 May 2014, 6-1/8 x 9-1/4, 650 pp. Suggested Price: $89.95 / £44.99

Textbook

Computational Number TheoryAbhijit DasIndian Institute of Technology, KharagpurSeries: Discrete Mathematics and Its Applications

Developed from the author’s popular graduate-level course, this self-contained text presents a complete treatment of number-theoretic algorithms. Avoiding advanced algebra and requiring no prior experience with number theory or sophisticated algebraic tools, the book covers many computational aspects of number theory and highlights important and interesting engineering applications. With an emphasis on implementation issues, it uses the freely available number-theory calculator GP/PARI to demonstrate complex arithmetic computations. The text includes numerous examples and exercises throughout and omits lengthy proofs, making the material accessible to students and practitioners. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-6615-3 eBook ISBN: 978-1-4398-6618-4 March 2013, 6-1/8 x 9-1/4, 614 pp. Suggested Price: $89.95 / £57.99

Algebraic Number Fields and Their CompletionsNancy ChildressArizona State University, Tempe, USASeries: Discrete Mathematics and Its Applications

This book integrates local and global theory to reflect a very modern view of algebraic number theory. This approach is used whenever possible to make the book as accessible as possible to readers with some background in abstract algebra. The author uses contemporary notation and includes numerous examples and end-of-chapter exercises. Suitable for a course on algebraic number theory or as background reading on class field theory, the book covers such topics as localization, ramification theory, norms, Minkowski theory, the unit group, cyclotomic fields, and Dedekind domains.


The Separable Galois Theory of Commutative RingsSecond EditionAndy R. MagidUniversity of Oklahoma, Norman, USASeries: Chapman & Hall/CRC Pure and Applied Mathematics

This book provides a thorough, self-contained explanation of Galois theory of commutative rings. Requiring some background in commutative algebra and algebraic geometry, the book gives complete proofs of the main results of separable Galois theory. This edition includes a new chapter that offers background on separability and a new chapter on categorical Galois theory that incorporates many developments in the field. The book also covers Boolean spectrum theory and the fundamental groupoid.


Textbook

Practical Linear AlgebraA Geometry Toolbox, Third EditionGerald FarinArizona State University, Tempe, USA

Dianne HansfordFarinHansford R&D, Paradise Valley, Arizona, USA

Through many examples and real-world applications, this text teaches undergraduate-level linear algebra in a comprehensive, geometric, and algorithmic way. It provides a solid foundation for further work in math, engineering, science, computer graphics, and geometric modeling. Along with more exercises and applications, this third edition covers singular value decomposition and its application to the pseudoinverse, principal components analysis, and image compression. It also gives more attention to eigen-analysis, including eigenfunctions and the Google matrix, and emphasizes orthogonal projections and matrix decompositions.

Print ISBN: 978-1-4665-7956-9 eBook ISBN: 978-1-4665-7959-0 August 2013, 7-1/2 x 9-1/4, 514 pp. Suggested Price: $89.95 / £57.99

Near Rings, Fuzzy Ideals, and Graph TheoryBhavanari SatyanarayanaAcharya Nagarjuna University, Andra Pradesh, India

Kuncham Syam PrasadManipal University, India

Near ring theory has many applications in areas as diverse as digital computing, sequential mechanics, automata theory, graph theory, and combinatorics. Suitable for researchers and graduate students, this book provides readers with an understanding of near ring theory and its connection to fuzzy ideals and graph theory. It explores the relationship between near rings and fuzzy sets and between near rings and graph theory. The authors cover topics from recent literature along with several characterizations.

Print ISBN: 978-1-4398-7310-6 eBook ISBN: 978-1-4398-7311-3 May 2013, 6-1/8 x 9-1/4, 480 pp. Suggested Price: $99.95 / £63.99

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Formal Cell BiologyAn Introduction to Formal Methods in Systems BiologyFrancois FagesINRIA Paris Rocquencourt, FranceSeries: Chapman & Hall/CRC Mathematical & Computational Biology

This book explores the use of concepts and tools from theoretical computer science to tackle the complexity of cell processes. In a unified framework, it presents the different modeling formalisms of systems biology, emphasizing their formal relationships by abstraction functions and putting them into practice for building predictive models of cell functions. With exercises and computational models, the book reflects the author’s many years of researching, developing, and applying computer science methods in systems biology.


Textbook

Explorations in ComputingAn Introduction to Computer ScienceJohn S. ConeryUniversity of Oregon, Eugene, USASeries: Chapman & Hall/CRC Textbooks in Computing

This text offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an active learning approach that uses hands-on projects to teach computer science concepts and applications, the text encourages students to explore computing ideas by running programs and testing them on different inputs. It requires no prior experience with programming and includes a set of exercises at the end of each chapter, with selected solutions in an appendix. A lab manual for Ruby and RubyLabs and links to the latest versions of the software are available on the book’s website.

Print ISBN: 978-1-4398-1262-4 eBook ISBN: 978-1-4398-1263-1 October 2010, 7 x 10, 390 pp. Suggested Price: $83.95 / £55.99

Delaunay Mesh GenerationSiu-Wing ChengHong Kong University of Science and Technology

Tamal K. DeyThe Ohio State University, Columbus, USA

Jonathan ShewchukUniversity of California, Berkeley, USASeries: Chapman & Hall/CRC Computer & Information Science

Written by authors at the forefront of modern algorithms research, this book demonstrates the power and versatility of Delaunay meshers in tackling complex geometric domains ranging from polyhedra with internal boundaries to piecewise smooth surfaces. It is one of the first to integrate a vast amount of cutting-edge material on Delaunay triangulations. Covering both volume and surface meshes, the book offers a rigorous theoretical analysis of mesh generation methods while also showing how the algorithms work well in practice.

Print ISBN: 978-1-58488-730-0 eBook ISBN: 978-1-58488-731-7 December 2012, 7 x 10, 410 pp. Suggested Price: $93.95 / £59.99

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A Concise Introduction to Programming in PythonMark J. JohnsonCentral College, Pella, Iowa, USASeries: Chapman & Hall/CRC Textbooks in Computing

Suitable for newcomers to computer science, this text provides a concise yet complete first course in computer science using the Python programming language. The author presents basic programming constructs early so that beginners can use them throughout the course. He then covers objects and defines classes. Each chapter introduces a main idea through a concrete example and a series of exercises. The examples, exercises, and projects reflect a wide range of applications in biology, textual analysis, and other areas. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-9694-5 eBook ISBN: 978-1-4665-0263-5 December 2011, 6-1/8 x 9-1/4, 217 pp., Soft Cover Suggested Price: $62.95 / £42.99

Quadratic IrrationalsAn Introduction to Classical Number TheoryFranz Halter-KochUniversity of Graz, AustriaSeries: Chapman & Hall/CRC Pure and Applied Mathematics

Research on number theory has produced a wealth of interesting and beautiful results yet topics are strewn throughout the literature, the notation is far from being standardized, and a unifying approach to the different aspects is lacking. Covering both classical and recent results, this book unifies the theory of continued fractions, quadratic orders, binary quadratic forms, and class groups based on the concept of a quadratic irrational. It highlights the connection between Gauss’s theory of binary forms and the arithmetic of quadratic orders.

Print ISBN: 978-1-4665-9183-7 eBook ISBN: 978-1-4665-9184-4 June 2013, 7 x 10, 431 pp. Suggested Price: $99.95 / £63.99

Textbook

An Introduction to Number Theory with CryptographyJames S. KraftGilman School, Baltimore, Maryland, USA

Lawrence C. WashingtonUniversity of Maryland, College Park, USA

Number theory has recently been applied in important areas, such as cryptography. This text presents number theory along with many interesting applications. Designed for an undergraduate-level course, it covers standard number theory topics and gives instructors the option of integrating several other topics into their coverage. The “Check Your Understanding” problems aid in learning the basics, and there are numerous exercises, projects, and computer explorations of varying levels of difficulty. A solutions manual and figures slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-1441-3 eBook ISBN: 978-1-4822-1442-0 September 2013, 6-1/8 x 9-1/4, 572 pp. Suggested Price: $89.95 / £59.95

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Software EngineeringThe Current PracticeVaclav RajlichWayne State University, Detroit, Michigan, USASeries: Chapman & Hall/CRC Innovations in Software Engineering and Software Development

This text teaches students basic software engineering skills and helps practitioners refresh their knowledge and explore recent developments in the field. It covers the most common iterative processes: agile, directed, and centralized processes. The book also discusses the role of software change in these processes and the phases of software change, including concept location, impact analysis, refactoring, actualization, and verification. The text journeys through the software life span from the initial development of software from scratch to the final stages that lead toward software closedown.

Print ISBN: 978-1-4398-4122-8 eBook ISBN: 978-1-4398-8643-4 November 2011, 6-1/8 x 9-1/4, 315 pp. Suggested Price: $83.95 / £48.99

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Machine LearningAn Algorithmic Perspective, Second EditionStephen MarslandMassey University, Palmerston North, New Zealand

Along with updating all chapters and Python code examples, the second edition of this bestseller includes new chapters on Gaussian processes, Boltzmann machines, and deep belief networks. It also revises coverage of kernel methods and adds new material on random forests and model selection. The book retains its popular algorithmic approach as well as its focus on how to use the algorithms that make up machine learning methods and how and why these algorithms work. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-8328-3 April 2014, 6-1/8 x 9-1/4, 500 pp. Suggested Price: $79.95 / £49.99

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Image Analysis, Classification and Change Detection in Remote SensingWith Algorithms for ENVI/IDL, Second EditionMorton J. CantyJuelich Research Center, Germany

This popular introduction to the processing of remote sensing imagery has been updated to include recent versions of the ENVI software environment. This edition covers support vector machines and other kernel-based methods. Illustrating many programming examples in the array-oriented language ID, it covers basic Fourier, wavelet, principal components, and minimum noise fraction transformations; convolution filters, topographic modeling, image-to-image registration, and ortho-rectification; image fusion; supervised and unsupervised land cover classification with neural networks; hyperspectral analysis; and multivariate change detection. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-4200-8713-0 December 2009, 6-1/8 x 9-1/4, 471 pp. Suggested Price: $146.95 / £93.00

Handbook of Finite State Based Models and ApplicationsEdited by

Jiacun WangMonmouth University, West Long Branch, New Jersey, USASeries: Discrete Mathematics and Its Applications

Applicable to any problem that requires a finite number of solutions, finite state based models (also called finite state machines or finite state automata) have found wide use in various areas of computer science and engineering. This handbook provides a complete collection of introductory materials on finite state theories, algorithms, and the latest domain applications. For beginners, the book is a handy reference for quickly looking up model details. For more experienced researchers, it is suitable as a source of in-depth study in this area.


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A Guide to Algorithm DesignParadigms, Methods, and Complexity AnalysisAnne BenoitEcole Normale Supérieure de Lyon, France

Yves RobertEcole Normale Supérieure de Lyon, Institut Universitaire de France, and Université de Lyon, France

Frédéric VivienEcole Normale Supérieure de Lyon, FranceSeries: Chapman & Hall/CRC Applied Algorithms and Data Structures

Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. The book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Figure slides are available upon qualifying course adoption.


The Garbage Collection HandbookThe Art of Automatic Memory ManagementRichard JonesUniversity of Kent, Canterbury, UK

Antony HoskingPurdue University, West Lafayette, Indiana, USA

Eliot MossUniversity of Massachusetts, Amherst, USASeries: Chapman & Hall/CRC Applied Algorithms and Data Structures

This authoritative handbook brings together a wealth of knowledge gathered by automatic memory management researchers and developers over the past 50 years. It addresses challenges to garbage collection made by recent advances in hardware and software. The authors compare the most important approaches and state-of-the-art techniques in a single, accessible framework. They cover parallel, concurrent, and real-time garbage collection algorithms and explain some of the tricky aspects of garbage collection. An online bibliographic database includes over 2,500 garbage collection-related publications.

Print ISBN: 978-1-4200-8279-1 August 2011, 7 x 10, 511 pp. Suggested Price: $87.95 / £55.99

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Laser Beam PropagationGeneration and Propagation of Customized LightEdited by

Andrew ForbesCSIR National Laser Centre, Pretoria, South Africa

This book provides a comprehensive account of laser beam propagation, reflecting the major impact of new characterization methods, computational approaches, and fabrication techniques. It highlights new discoveries on laser beams and their propagation properties, including orbital angular momentum of light, the non-diffracting nature of light, light that propagates along curved paths, and reconstructs after obstacles. Expert researchers demonstrate how laser beams propagate, explain the generation of custom laser beams with modern techniques, describe beam properties, and showcase their application across various disciplines.

Print ISBN: 978-1-4665-5439-9 February 2014, 6-1/8 x 9-1/4, 320 pp. Suggested Price: $129.95 / £82.00

Geomathematically Oriented Potential TheoryWilli Freeden and Christian GerhardsTechnical University of Kaiserslautern, GermanySeries: Chapman & Hall/CRC Pure and Applied Mathematics

This work presents the principles of space and surface potential theory involving Euclidean and spherical concepts. It offers new insight on how to mathematically handle gravitation and geomagnetism for the relevant observables and how to solve the resulting potential problems in a systematic, mathematically rigorous framework. The authors build the foundation of potential theory in three-dimensional Euclidean space and its application to gravitation and geomagnetism. They then discuss surface potential theory on the unit sphere along with corresponding applications.

Print ISBN: 978-1-4398-9542-9 eBook ISBN: 978-1-4398-9543-6 October 2012, 6-1/8 x 9-1/4, 468 pp. Suggested Price: $115.95 / £72.99

Digital Geometry in Image ProcessingJayanta Mukhopadhyay, Partha Bhowmick, Partha Pratim Das, Samiran Chattopadhyay, and Biswa Nath ChatterjiSeries: IIT Kharagpur Research Monograph

Exploring theories and applications developed during the last 30 years, this book presents a mathematical treatment of the properties of digital metric spaces and their relevance in analyzing shapes in two and three dimensions. Unlike similar books, this one connects the two areas of image processing and digital geometry, highlighting important results of digital geometry that are currently used in image analysis and processing. With many figures (some in color) and end-of-chapter exercises, the book gives readers insight on the latest two- and three-dimensional image processing applications.

Print ISBN: 978-1-4665-0567-4 eBook ISBN: 978-1-4665-0568-1 April 2013, 6-1/8 x 9-1/4, 318 pp. Suggested Price: $89.95 / £57.99

Case Studies in Enterprise Systems, Complex Systems, and System of Systems EngineeringEdited by

Alex Gorod, Brian E. White, Vernon Ireland, S. Jimmy Gandhi, and Brian SauserSeries: Complex and Enterprise Systems Engineering

Suitable as a reference for industry practitioners and as a textbook for classroom use, this book provides an understanding of System of Systems Engineering (SoSE), Enterprise Systems Engineering (ESE), and Complex Systems Engineering (CSE) principles and practices. In the book, industry practitioners analyze several case studies from various industries. They offer nuanced definitions comparing and contrasting SoSE, ESE, and CSE. The case studies focus on underlying principles and best practices.

Print ISBN: 978-1-4665-0239-0 June 2014, 6-1/8 x 9-1/4, 384 pp. Suggested Price: $129.95 / £82.00

Artificial Intelligence in Power System OptimizationWeerakorn Ongsakul and Vo Ngoc DieuAsian Institute of Technology, Pathumthani, Thailand

With the considerable rise of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of AI in power systems have attracted much research. This book covers the current level of applications of AI to the optimization problems in power systems. The book can serve as a textbook for graduate students in electric power system management and as a useful reference for those who are interested in using AI in power system optimization.


Undocumented Secrets of MATLAB®-Java ProgrammingYair M. AltmanGaney Tivka, Israel

To enhance MATLAB® software’s applicability to modern, real-world situations, Java can be manipulated to achieve improved appearance and functionality. Organized by related functionality/usage and ordered from facile to complex, this book presents examples, instruction, and code snippets in stand-alone, self-contained chapters. Requiring no prior Java knowledge, the book provides numerous online references and resources to show readers how to use and discover new components and functionalities using nothing but MATLAB itself as the discovery tool.


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Algebraic Curves in CryptographySan Ling, Huaxiong Wang, and Chaoping XingNanyang Technological University, SingaporeSeries: Discrete Mathematics and Its Applications

This self-contained book is one of the first to focus on many topics in cryptography involving algebraic curves. After supplying the necessary background on algebraic curves, the authors discuss error-correcting codes, including algebraic geometry codes, and provide an introduction to elliptic curves. Each chapter in the remainder of the book deals with a selected topic in cryptography (other than elliptic curve cryptography). The topics covered include secret sharing schemes, authentication codes, frameproof codes, key distribution schemes, broadcast encryption, and sequences.

Print ISBN: 978-1-4200-7946-3 eBook ISBN: 978-1-4200-7947-0 June 2013, 6-1/8 x 9-1/4, 340 pp. Suggested Price: $79.95 / £49.99

Systems ScienceMethodological ApproachesYi Lin, Xiaojun Duan, Chengli Zhao, and Li Da XuSeries: Advances in Systems Science and Engineering

By making use of the principles of systems science, the scientific community can explain many complicated matters of the world and shed new light on unsettled problems. This volume explores general systems, nonlinear systems dynamics, and the theory of catastrophe. It discusses dissipative structures and synergistics, chaos, fractals, complex systems and complexity, complex adaptive systems, open complex giant systems, and complex networks and related concepts and methods. Case studies demonstrate how various concepts and the logic of systems can be practically applied to resolve real-life problems, such as the prediction of natural disasters.

Print ISBN: 978-1-4398-9551-1 eBook ISBN: 978-1-4398-9552-8 November 2012, 7 x 10, 399 pp. Suggested Price: $125.95 / £81.00

Spatial MathematicsTheory and Practice through MappingSandra Lach ArlinghausUniversity of Michigan, Ann Arbor, USA

Joseph J. KerskiEnvironmental Systems Research Institute, Lakewood, Colorado, USA

Spatial mathematics and analysis, two different approaches to scholarship, yield different results and employ different tools. This book explores both approaches to looking at real-world issues that have mathematics as a critical, but often unseen, component. Readers learn the mathematics required to consider the broad problem at hand, rather than learning mathematics according to the determination of a (perhaps) artificial curriculum. This format motivates readers to explore diverse realms in geography, mathematics, and their interfaces. A solutions manual is available upon qualifying course adoption.


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Physics of Continuous MediaProblems and Solutions in Electromagnetism, Fluid Mechanics and MHD, Second EditionGrigory VeksteinUniversity of Manchester, UK

Suitable for any core physics program, this classroom-tested text takes a problems-based approach to teaching continuous media. This revised and expanded edition includes a new chapter on magnetohydrodynamics as well as additional problems and more detailed solutions. Each chapter begins with a summary of the definitions and equations that are necessary to understand and tackle the problems that follow. The text also provides numerous references throughout, including Landau and Lifshitz’s famous course of theoretical physics and original journal publications. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-1763-9 eBook ISBN: 978-1-4665-1765-3 March 2013, 6-1/8 x 9-1/4, 260 pp., Soft Cover Suggested Price: $59.95 / £38.99

Textbook

Ordinary and Partial Differential EquationsVictor HennerPerm State University, Russia, and University of Louisville, Kentucky, USA

Tatyana BelozerovaPerm State University, Russia

Mikhail KhennerWestern Kentucky University, Bowling Green, USA

This text provides a complete and accessible course on ODEs and PDEs using many examples and exercises as well as intuitive, easy-to-use software. The book includes all the topics that form the core of a modern undergraduate or beginning graduate course in differential equations. It also discusses other optional but important topics such as integral equations, Fourier series, and special functions. Requiring no user programming, the accompanying computer software allows readers to fully investigate problems. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-1500-0 eBook ISBN: 978-1-4665-1513-0 January 2013, 7 x 10, 644 pp. Suggested Price: $89.95 / £54.95

Linear Programming and Algorithms for Communication NetworksA Practical Guide to Network Design, Control, and ManagementEiji OkiThe University of Electro-Communications, Tokyo, Japan

Explaining how to apply mathematical programming to network design and control, this book fills the gap between mathematical programming theory and its implementation in communication networks. It provides an understanding of the fundamentals of mathematical programming for communication networks all the way to more advanced concepts. Using the GNU Linear Programming Kit (GLPK) package, which is designed for solving linear programming and mixed integer programming problems, the book explains typical problems, provides solutions for communication networks, and includes practical algorithms and sufficient programs to encourage GLPK usage.


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CryptographyTheory and Practice, Third EditionDouglas R. StinsonUniversity of Waterloo, Ontario, CanadaSeries: Discrete Mathematics and Its Applications

The third edition of this best-selling text provides unparalleled coverage of the use of cryptographic protocols that establish the steps that must be taken before any type of secret transmission can be completed. The author shows readers how the various parties to the transaction establish their cryptographic identities or keys, covers many of the cryptographic tools used in network security, and discusses topics that include copyright protection techniques and public key infrastructure. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-58488-508-5 November 2005, 6-1/8 x 9-1/4, 616 pp. Suggested Price: $73.95 / £46.99

Combinatorics of Set PartitionsToufik MansourUniversity of Haifa, IsraelSeries: Discrete Mathematics and Its Applications

Focusing on a very active area of mathematical research in the last decade, this book presents methods used in the combinatorics of pattern avoidance and pattern enumeration in set partitions. Each chapter gives historical perspectives, contrasts different approaches, and illustrates methods and definitions with worked examples and Maple™ code. The text also explores research directions and includes end-of-chapter problems that often draw on real-world data. C++ programs and output tables are listed in the appendices and available for download online.

Print ISBN: 978-1-4398-6333-6 eBook ISBN: 978-1-4398-6334-3 July 2012, 6-1/8 x 9-1/4, 516 pp. Suggested Price: $104.95 / £66.99

Combinatorics of PermutationsSecond EditionMiklós BónaUniversity of Florida, Gainesville, USASeries: Discrete Mathematics and Its Applications

A 2006 CHOICE Outstanding Academic Title, the first edition of this bestseller was lauded for its detailed yet engaging treatment of permutations. With much of the book significantly revised and expanded, this second edition continues to clearly show the usefulness of the subject. Along with more exercises and problems, this edition includes new material on alternating permutations, multivariate applications, pattern avoidance, and asymptotically normal distributions. A new chapter focuses on three sorting algorithms from molecular biology. A solutions manual is available upon qualifying course adoption.


Combinatorial Scientific ComputingEdited by

Uwe NaumannRWTH Aachen University, Germany

Olaf SchenkUniversity of Lugano, SwitzerlandSeries: Chapman & Hall/CRC Computational Science

This volume explores recent research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. It focuses on load balancing and parallelization on high-performance computers, large-scale optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications in large-scale social networks. The authors, who are pioneers in the field, unify these seemingly disparate areas through a common set of abstractions and algorithms based on combinatorics, graphs, and hypergraphs.


Textbook

Applied CombinatoricsSecond EditionFred S. RobertsRutgers University, Piscataway, New Jersey, USA

Barry TesmanDickinson College, Carlisle, Pennsylvania, USA

Now with solutions to selected problems, this best-selling textbook presents the tools of combinatorics from an applied point of view. It focuses on three basic problems of combinatorics: counting, existence, and optimization problems. The text contains many examples from the biological, computer, and social sciences, including disease screening, genome mapping, satellite communication, telecommunications traffic, web data, oil drilling, dynamic labor markets, data mining, and distributed computing. It also offers numerous references to the literature of combinatorics and its applications that enable readers to delve more deeply into the topics.


Applications of Combinatorial Matrix Theory to Laplacian Matrices of GraphsJason J. MolitiernoSacred Heart University, Fairfield, Connecticut, USASeries: Discrete Mathematics and Its Applications

This book presents results established over the past 40 years on Laplacian matrices of graphs developed using combinatorial matrix theory. The author focuses on the spectrum of Laplacian matrices, the algebraic connectivity of graphs, associated eigenvectors of the Laplacian matrix, and submatrices of the Laplacian matrix. All of these topics illustrate how the properties of a matrix can provide information about the associated graph and vice versa. The text also covers relevant parts of graph theory, Laplacian matrices, and combinatorial matrix theory and includes sources for each theorem.


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Graphs & DigraphsFifth EditionGary ChartrandWestern Michigan University, Kalamazoo, USA

Linda LesniakDrew University, Madison, New Jersey, USA

Ping ZhangWestern Michigan University, Kalamazoo, USA

Nearly 50 percent longer than its best-selling predecessor, this edition reorganizes the material and presents many new topics, including graph minors, perfect graphs, chromatic polynomials, nowhere-zero flows, flows in networks, degree sequences, toughness, list colorings, and list edge colorings. It also contains new examples, figures, and applications; expanded historical discussions of well-known mathematicians and problems; and more than 300 new exercises, along with hints and solutions to odd-numbered exercises. A solutions manual is available upon qualifying course adoption.


Textbook

Graph Theory and Its ApplicationsSecond EditionJonathan L. GrossColumbia University, New York, New York, USA

Jay YellenRollins College, Winter Park, Florida, USASeries: Discrete Mathematics and Its Applications

Already the most widely used textbook on graph theory, this refreshed and expanded second edition continues to offer superior explanations, original applications, and abundance of study problems. With nearly 200 pages added, this edition includes two new chapters, hundreds of new exercises (mostly non-routine), and illustrated solutions and hints to selected exercises. The authors also extensively revised and reorganized more than half of the existing chapters.

Print ISBN: 978-1-58488-505-4 September 2005, 7 x 10, 800 pp. Suggested Price: $98.95 / £51.99

Textbook

Discrete Structures and Their InteractionsJason I. BrownDalhousie University, Halifax, CanadaSeries: Discrete Mathematics and Its Applications

With exercises and research problems, this text highlights the connections among various discrete structures, including graphs, directed graphs, hypergraphs, partial orders, finite topologies, and simplicial complexes. It also explores their relationships to classical areas of mathematics, such as linear and multilinear algebra, analysis, probability, logic, and topology. The author explains how discrete structures have important applications in many areas inside and outside of combinatorics. He also discusses how to recognize valuable research connections through the structures. A solutions manual and figure slides are available upon qualifying course adoption.


Textbook

Discrete Mathematics with Duckssarah-marie belcastroResearch Associate, Smith College, Northampton, Massachusetts, USA

Suitable for an introductory discrete mathematics course, this text covers the subfields of mathematics and computer science that fall under the general umbrella term. It fits the ideas of the basic curriculum as outlined in the SIGCSE guidelines into a framework that focuses on content rather than technique. The book covers standard and practical topics required in discrete math classes. The author also incorporates classroom activities as well as instructor’s notes at the end of every chapter. A solutions manual is available upon qualifying course adoption.


Discrete Mathematics Applied to QSAR and BeyondMilan RandicDrake University, Des Moines, Iowa, USASeries: QSAR in Environmental and Health Sciences

Theoretical chemistry has been dominated by quantum chemistry to such an extent that the potential of discrete mathematics has focused on combinatorial and topological properties of discrete objects. This book summarizes results related to chemical structures that go beyond molecular stability and energetics, addressing molecular similarity, QSAR, QSPR characterization of DNA and proteins, and DNA and protein alignment. Including bioinformatics topics and proteomics maps, it presents an outline of molecular descriptors that considers aromaticity of benzenoid and non-benzenoid compounds, properties of conjugated polymers, and stabilities of fullerenes.


Textbook

Discrete Algorithmic MathematicsThird EditionStephen B. MaurerSwarthmore College, Pennsylvania, USA

Anthony Ralston

Thoroughly revised for a one-semester course, this highly regarded book is an outstanding text for undergraduate discrete mathematics. It has been updated with new or extended discussions of order notation, generating functions, chaos, aspects of statistics, and computational biology. Written in a lively, clear style, the book is unique in its emphasis on algorithmics and the inductive and recursive paradigms as central mathematical themes. It presents a broad variety of applications from mathematics, computer science, and the natural and social sciences. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-56881-166-6 January 2005, 7-1/2 x 9-1/2, 803 pp. Suggested Price: $104.95 / £66.99

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Handbook of Graph Drawing and VisualizationEdited by

Roberto TamassiaBrown University, Providence, Rhode Island, USASeries: Discrete Mathematics and Its Applications

Edited by a pioneer in graph drawing and with contributions from leaders in the graph drawing research community, this handbook shows how graph drawing and visualization can be applied in the physical, life, and social sciences. It covers topological and geometric foundations, algorithms, software systems, and visualization applications. Whether a mathematics researcher, IT practitioner, or software developer, the book will help readers understand graph drawing methods and graph visualization systems, use graph drawing techniques in their research, and incorporate graph drawing solutions in their products.

Print ISBN: 978-1-58488-412-5 eBook ISBN: 978-1-4200-1026-8 August 2013, 7 x 10, 862 pp. Suggested Price: $99.95 / £63.99

Handbook of Finite FieldsGary L. MullenThe Pennsylvania State University, University Park, USA

Daniel PanarioCarleton University, Ottawa, Ontario, CanadaSeries: Discrete Mathematics and Its Applications

Poised to become the leading reference in the field, this definitive handbook is exclusively devoted to the theory and applications of finite fields. Edited by two renowned researchers and with more than 80 international contributors compiling state-of-the-art research, the book uses a uniform style and format throughout, and each chapter is self contained and peer reviewed. The handbook provides a comprehensive index and easy access to over 3,000 references, enabling readers to quickly locate up-to-date facts and results regarding finite fields.


Handbook of Elliptic and Hyperelliptic Curve CryptographySecond EditionEdited by

Henri Cohen, Gerhard Frey, Roberto Avanzi, Christophe Doche, Tanja Lange, Kim Nguyen, and Frederik VercauterenSeries: Discrete Mathematics and Its Applications

Addressing every aspect of the field, this handbook contains all of the background necessary to understand the theory and security of cryptosystems as well as the algorithms that can be used to implement them. This second edition features the latest developments on pairing-based cryptography, new ideas on index-calculus attacks, improved algorithms for genus-2 arithmetic, and a number of other new additions. It also includes many new applications and provides better explanations on some of the more mathematical presentations.

Print ISBN: 978-1-4398-4000-9 May 2014, 7 x 10, 1024 pp. Suggested Price: $109.95 / £70.99

Handbook of Constrained OptimizationVenkat VenkateswaranNew Jersey Institute of Technology, Newark USASeries: Discrete Mathematics and Its Applications

While the subject of classical unconstrained optimization is fairly well known, constrained optimization is not well understood. Yet these are the optimization problems that are encountered in industry. This handbook addresses the different problems encountered in semiconductor chip design, circuit touting, telecommunications network design, optimal portfolio design, and vehicle routing. Covering most of the optimization problems encountered in an industrial setting, the book helps practitioners quickly access known results and solution methods so that they can make the best decisions.

Print ISBN: 978-1-58488-217-6 June 2014, 8-1/2 x 11, 608 pp. Suggested Price: $119.95 / £76.99

Textbook

Handbook of Applied CryptographyAlfred J. MenezesUniversity of Waterloo, Ontario, Canada

Paul C. van OorschotOttawa, Ontario, Canada

Scott A. VanstoneUniversity of Waterloo, Ontario, CanadaSeries: Discrete Mathematics and Its Applications

Suitable for both novices and experts, this handbook provides a multifunctional treatment that introduces the more practical aspects of conventional and public-key cryptography. The book offers a valuable source of techniques and algorithms for serious practitioners and contains enough abstraction for theoreticians. It also provides enough detail to actually allow implementation of the algorithms discussed. The book includes more than 200 algorithms and protocols, extensive cross referencing, and more than 1,250 references that include brief comments on each entry.


Group Theoretic CryptographyMaria Isabel VascoUniversidad Rey Juan Carlos, Madrid, Spain

Spyros Magliveras and Rainer SteinwandtFlorida Atlantic University, Boca Raton, USASeries: Chapman & Hall/CRC Cryptography and Network Security

This reference focuses on the specifics of using nonabelian groups in the field of cryptography. It provides an introduction to cryptography (mostly asymmetric) with a focus on group theoretic constructions, making it the first book to use this approach. The authors include all of the needed cryptographic and group theoretic concepts. They supply exercises at the end of each chapter, selected solutions in the back of the book, and suggestions for student projects that require the use of the computer or computer algebra systems.


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Quantitative Graph TheoryMathematical Foundations and ApplicationsEdited by

Matthias Dehmer and Frank Emmert-StreibSeries: Discrete Mathematics and Its Applications

This book presents methods for analyzing graphs and networks quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques, it covers a wide range of quantitative graph-theoretical concepts and methods, including those pertaining to random graphs. Through its broad coverage, the book fills a gap in the contemporary literature of discrete and applied mathematics, computer science, systems biology, and related disciplines.


New Directions of Modern CryptographyZhenfu CaoShanghai Jiao Tong University, China

This volume presents the fundamental definitions, precise assumptions, and rigorous security proofs of cryptographic primitives and related protocols. It also describes how they originated from security requirements and how they are applied. Providing vivid demonstrations of how modern cryptographic techniques can be used to solve security problems, the book’s applications cover wired and wireless communication networks, satellite communication networks, multicast/broadcast and TV networks, and newly emerging networks. The book also describes some open problems that challenge the new directions of modern cryptography.


Modern Stream CiphersDesign and AnalysisThomas JohanssonLund University, Sweden

Willi MeierFHNW, Windisch, SwitzerlandSeries: Discrete Mathematics and Its Applications

An increased interest in stream ciphers has recently been reflected in a number of applications, including securing environments with constrained resources in computing power and energy as well as areas where very high speed is required in software implementations. This book covers symmetric cryptography and provides a basic understanding of stream ciphers and pseudo-random sequences for system design and implementation purposes. The authors discuss key stream ciphers, e-stream competition, applications of stream ciphers, cryptanalysis, and various types of attacks.


Textbook

Introduction to Modern CryptographyPrinciples and ProtocolsJonathan KatzUniversity of Maryland, College Park, USA

Yehuda LindellBar-Ilan University, Ramat Gan, IsraelSeries: Chapman & Hall/CRC Cryptography and Network Security

This text focuses on formal definitions, assumptions, and rigorous proofs of security. The first half of the book gives an extensive treatment of private-key cryptography. The second half focuses on public-key cryptography, beginning with a self-contained introduction to the number theory needed for the RSA, Diffie-Hellman, El Gamal, and other cryptosystems. After exploring public-key encryption and digital signatures, the book concludes with the random oracle model and its applications. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-58488-551-1 August 2007, 6-1/8 x 9-1/4, 552 pp. Suggested Price: $85.95 / £42.99

Introduction to Closure SystemsRobert E. JamisonClemson University, South Carolina, USASeries: Discrete Mathematics and Its Applications

The notion of closure pervades mathematics, especially in the fields of topology and projective geometry. Demonstrating this pervasiveness in the field, this graduate-level book provides a complete introduction to closure systems. With an emphasis on finite spaces and algebraic closures, the text covers graph theory, ordered sets, lattices, projective geometry, and formal logic as they apply to the study of closures. Each chapter presents a vignette to illustrate the topic covered. The author also includes numerous exercises as well as concrete examples to support the material discussed.


Handbook of Graph TheorySecond EditionEdited by

Jonathan L. GrossColumbia University, New York, New York, USA

Jay YellenRollins College, Winter Park, Florida, USA

Ping ZhangWestern Michigan University, Kalamazoo, USASeries: Discrete Mathematics and Its Applications

The most comprehensive single-source guide to graph theory, the new edition of this best-selling handbook covers the most current significant topics in graph theory. Designed with non-experts in mind, this unified, authoritative book makes information easy to find and easy to understand. Each chapter includes lists of definitions and facts accompanied by examples, tables, remarks, a glossary, a bibliography, and, in some areas, conjectures and open problems.


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Asymptotic Analysis and Perturbation TheoryWilliam PaulsenArkansas State University, Jonesboro, USA

This self-contained text makes the difficult subject of asymptotics easy to comprehend. It immediately introduces asymptotic notation and then applies this tool to familiar problems, including limits, inverse functions, and integrals. Along the way, the book explores the properties of some important functions in applied mathematics. Assuming no prior knowledge of differential equations, it explains the exact solution of only the simplest differential equations, such as first-order linear and separable equations. A solutions manual is available upon qualifying course adoption.


Approximate Analytical Methods for Solving Ordinary Differential EquationsT. Raja Rani, T.K.V. Iyengar, and T.S.L Radhika

This is the first book to present all of the available approximate methods for solving ODEs, eliminating the need to wade through multiple books and articles. The book covers both well-established techniques and recently developed procedures. Detailed examples elucidate the application of these methods to solve real-world problems. The book will help readers understand the diverse methods used to tackle differential equations in many application domains, such as mathematics, engineering, biology, physics, and economics.


Textbook

Applied Differential EquationsAn IntroductionVladimir A. DobrushkinBrown University, Providence, Rhode Island, USASeries: Textbooks in Mathematics

This text covers the main methods used in differential equations for both introductory and advanced courses. Along with a range of exercises, it includes many applications and examples from engineering, economics, sciences, and biology. Software covered includes Mathematica®, Maple™, and MATLAB® as well as noncommercial packages freely available on the Internet. The author gives detailed theoretical treatments and step-by-step solutions for the problems and questions. The author’s website also contains supplementary material to extend learning. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-5104-3 January 2014, 7 x 10, 704 pp. Suggested Price: $99.95 / £49.99

Textbook

Advanced CalculusTheory and PracticeJohn PetrovicWestern Michigan University, Kalamazoo, USASeries: Textbooks in Mathematics

This text expands on the material covered in elementary calculus and presents this material in a rigorous manner yet makes the ideas less abstract to students. The text improves students’ problem-solving and proof-writing skills, familiarizes them with the historical development of calculus concepts, and helps them understand the connections among different topics. Nearly 300 examples lead to important theorems as well as help students develop the necessary skills to closely examine the theorems. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-6563-0 October 2013, 7 x 10, 572 pp. Suggested Price: $99.95 / £63.99

Transcendental Representations with Applications to Solids and FluidsL.M.B.C. CamposLisbon Technical University, PortugalSeries: Mathematics and Physics for Science and Technology

Building on the author’s previous book in the series, this work focuses on four infinite representations: series expansions, series of fractions for meromorphic functions, infinite products for functions with infinitely many zeros, and continued fractions as alternative representations. The book also continues the application of complex functions to more classes of fields, including incompressible rotational flows, compressible irrotational flows, unsteady flows, rotating flows, surface tension and capillarity, deflection of membranes under load, torsion of rods by torques, plane elasticity, and plane viscous flows.

Print ISBN: 978-1-4398-3431-2 eBook ISBN: 978-1-4398-3524-1 April 2012, 7 x 10, 898 pp. Suggested Price: $159.95 / £93.00

Secret HistoryThe Story of CryptologyCraig P. BauerYork College of Pennsylvania and National Security Agency Center for Cryptologic History (2011-2012 Scholar-in-Residence), USASeries: Discrete Mathematics and Its Applications

Secret History gives a thorough yet accessible treatment of both the mathematics and history of cryptology. Requiring minimal mathematical prerequisites, the book presents the mathematics in sufficient detail and weaves the history throughout the chapters. In addition to the fascinating historical and political sides of cryptology, the author includes interesting instances of codes and ciphers in crime, literature, music, and art. A solutions manual is available upon qualifying course adoption.


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Generalized Calculus with Applications to Matter and ForcesL.M.B.C. CamposLisbon Technical University, PortugalSeries: Mathematics and Physics for Science and Technology

Designed for engineers and scientists taking advanced mathematics courses, this work presents differential equations from an applied point of view. It provides an overview of the mathematical modeling of physical phenomena and engineering processes and explores how differential equations can be applied to various phenomena affecting engineering analysis and design. The author presents the laws of physics to formulate problems, mathematical methods to solve them, and examples of interpretation of results. He covers the structural deformation of vibration by aerodynamic loads (aeroelasticity) as well as sound generation, propagation, adsorption, and scattering.

Print ISBN: 978-1-4200-7115-3 March 2014, 7 x 10, 864 pp. Suggested Price: $89.95 / £39.95

Textbook

Encounters with Chaos and FractalsSecond EditionDenny GulickUniversity of Maryland, College Park, USA

Revised and updated, this second edition provides an accessible introduction to both chaotic dynamics and fractal geometry for readers with a calculus background. This edition contains new and expanded material on fractals that illustrates how to obtain computer renderings of them and covers Julia and Mandelbrot sets. It also includes a substantial number of new exercises at the end of each section and MATLAB® programs in the appendix, with selected solutions at the back of the book. A solutions manual and figure slides are available upon qualifying course adoption.


Discrete Dynamical Systems and Chaotic MachinesTheory and ApplicationsJacques M. Bahi and Christophe GuyeuxUniversity of Franche-Comte, BelfortSeries: Chapman & Hall/CRC Numerical Analysis and Scientific Computing

Until the authors’ recent research, the practical implementation of the mathematical theory of chaos on finite machines raised several issues. This self-contained book shows how to make finite machines, such as computers, neural networks, and wireless sensor networks, work chaotically as defined in a rigorous mathematical framework. Taking into account that these machines must interact in the real world, the authors share their research results on the behaviors of discrete dynamical systems and their use in computer science.


Textbook

Differential Equations with MATLAB®

Exploration, Applications, and TheoryMark McKibbenWest Chester University, Pennsylvania, USA

Micah D. WebsterGoucher College, Baltimore, Maryland, USASeries: Textbooks in Mathematics

This textbook is for a second course on differential equations or mathematical modeling. It provides a sense of intuition and practical-theoretical know-how on mathematical models involving ODEs and PDEs with and without noise. The book includes 25 distinct models spanning various disciplines and engages students by posing questions of all types. It illustrates theorems with examples and presents conjectures of actual results. A solutions manual and figure slides are available upon qualifying course adoption.


Difference EquationsTheory, Applications and Advanced Topics, Third EditionRonald E. MickensClark Atlanta University, Georgia, USA

This book covers many important classes of difference equations, including general, linear, first, second, and Nth order, along with nonlinear equations, partial difference equations, functional equations, and Nth order equations having constant coefficients. It presents a wide range of techniques for calculating exact and approximate solutions. Numerous worked examples illustrate the use of the methodologies. This edition includes new chapters on advanced topics, such as asymptotic behavior of solutions and functional equations, as well as problems that have appeared in the recent mathematical literature.


Textbook

A Course in Ordinary Differential EquationsRandall J. SwiftCalifornia State Polytechnic University, Pomona, USA

Stephen A. WirkusArizona State University, Glendale, USA

Featuring real-world applications from engineering and science, this is the first book on ODEs to include relevant computer code and instructions of MATLAB®, Mathematica®, and Maple™. The book embeds the computer algebra code throughout, presenting the syntax next to the relevant theory. The authors fully describe approximations used to obtain numerical solutions. They also explain how to use these programs to solve ODEs and qualitatively understand autonomous ODEs. Numerous appendices supplement learning for both students and professionals. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-58488-476-7 October 2006, 6-1/8 x 9-1/4, 688 pp. Suggested Price: $104.95 / £47.99

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Nonlinear Optimal Control TheoryLeonard D. BerkovitzPurdue University, West Lafayette, Indiana, USA

Negash G. MedhinNorth Carolina State University, Raleigh, USASeries: Chapman & Hall/CRC Applied Mathematics & Nonlinear Science

This book presents a deep, wide-ranging introduction to the mathematical theory of the optimal control of processes governed by ODEs and certain types of differential equations with memory. Many examples illustrate the mathematical issues that need to be addressed when using optimal control techniques in diverse areas. By providing a sufficient and rigorous treatment of finite dimensional control problems, the book equips readers with the foundation to deal with other types of control problems, such as those governed by stochastic differential equations, PDEs, and differential games.


Mimetic Discretization MethodsJose E. CastilloSan Diego University, California, USA

Guillermo F. MirandaUniversidad Central de Venezuela, South America

This book focuses on the recent mimetic discretization method co-developed by the first author. Based on the Castillo-Grone operators, this simple mimetic discretization method is invariably valid for spatial dimensions no greater than three. The book also presents a numerical method for obtaining corresponding discrete operators that mimic the continuum differential and flux-integral operators, enabling the same order of accuracy in the interior as well as the domain boundary. Problems and the authors’ mimetic methods toolkit (MTK) are available online.


Textbook

Introduction to Partial Differential Equations for Scientists and Engineers Using MathematicaKuzman AdzievskiSouth Carolina State University, Orangeburg, USA

Abul Hasan SiddiqiSharda University, Greater Noida, India

With a special emphasis on engineering and science applications, this textbook provides a mathematical introduction to PDEs at the undergraduate level. It takes a new approach to PDEs by presenting computation as an integral part of the study of differential equations. The authors use Mathematica® along with graphics to improve understanding and interpretation of concepts. They also present exercises in each chapter and solutions to selected examples. A solutions manual and figure slides are available upon qualifying course adoption.


Textbook

An Introduction to Partial Differential Equations with MATLAB®

Second EditionMatthew P. ColemanFairfield University, Connecticut, USASeries: Chapman & Hall/CRC Applied Mathematics & Nonlinear Science

Updated throughout, this second edition of a bestseller illustrates the usefulness of PDEs through numerous applications and helps students appreciate the beauty of the underlying mathematics. It shows students how PDEs can model diverse problems, including the spread of algae along the ocean’s surface, the fluctuation in the price of a stock option, and the quantum mechanical behavior of a hydrogen atom. The text also contains many exercises, including standard ones and graphical problems using MATLAB®. A solutions manual and figure slides are available upon qualifying course adoption.


Introduction to the Calculus of Variations and Control with Modern ApplicationsJohn A. BurnsVirginia Polytechnic Institute and State University, Blacksburg, USASeries: Chapman & Hall/CRC Applied Mathematics & Nonlinear Science

This book provides the fundamental background required to develop rigorous necessary conditions that are the starting points for theoretical and numerical approaches to modern variational calculus and control problems. It also presents some classical sufficient conditions and discusses the importance of distinguishing between the necessary and sufficient conditions. By emphasizing the basic ideas and their mathematical development, the book gives readers the foundation to use these mathematical tools to then tackle new problems.


HomogenizationApplications to the Biological and Physical SciencesRobert P. GilbertUniversity of Delaware, Newark, USA

Alexander PanchenkoWashington State University, Pullman, USA

This book presents the theoretical foundations of homogenization, a modeling procedure used to describe processes in complicated structures with known microstructures. Building on this theory, the authors explore various types of application problems, including flow in porous media, sound propagation in fluid saturated solids, acoustics of granular material, computational multiscale finite element methods, and interfaces in viscoelastic materials. The book also discusses results in which G-limits have different structures from the initial operators.


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Weakly Connected Nonlinear SystemsBoundedness and Stability of MotionAnatoly Martynyuk, Larisa Chernetskaya, and Vladislav MartynyukSeries: Chapman & Hall/CRC Pure and Applied Mathematics

Designed for researchers and graduate students working on systems with a small parameter, this book helps readers get up to date on the knowledge required to start research in this area. It provides a systematic study on the boundedness and stability of weakly connected nonlinear systems, covering theory and applications previously unavailable in book form. The text contains many essential results needed for carrying out research on nonlinear systems of weakly connected equations, including recently developed approaches based on the direct Lyapunov method and the comparison technique.


Stochastic Partial Differential EquationsSecond EditionPao-Liu ChowWayne State University, Detroit, Michigan, USASeries: Chapman & Hall/CRC Applied Mathematics & Nonlinear Science

This book takes a practical approach to the subject, starting with concrete problems and leading to general theory. Suitable for a graduate-level course on stochastic PDEs, this edition adds material on new developments in jump processes. Along with more problems and examples, it also includes additional applications related to finance, engineering, and biology as well as a new chapter dedicated to current topics, such as the stochastic Cahn-Hillard equation.


Stochastic Cauchy Problems in Infinite DimensionsGeneralized and Regularized SolutionsIrina V. MelnikovaUral Federal University, Yekaterinburg, Russia

Alexei FilinkovUniversity of Adelaide, AustraliaSeries: Monographs and Research Notes in Mathematics

Accessible to non-specialists, this book provides a self-contained, complete introduction to the modern theory of stochastic differential equations in infinite-dimensional spaces. It describes various approaches to solve abstract stochastic Cauchy problems. The authors compare these approaches and illustrate them with numerous examples of applications in physics and financial mathematics, including the mathematics of bond markets requiring the infinite-dimensional setting.


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Solution Techniques for Elementary Partial Differential EquationsSecond EditionChristian ConstandaUniversity of Tulsa, Oklahoma, USASeries: Chapman & Hall/CRC Mathematics

This popular text presents some of the most important and widely used methods for solving PDEs. Along with new worked examples and exercises and a new chapter on complex variable methods, this edition includes new sections on Cauchy–Euler equations, Bessel functions, Legendre polynomials, spherical harmonics, applications of Fourier transformations, and general hyperbolic equations. It lists additional mathematical models based on PDEs and shows how the methods of separation of variables and eigenfunction expansion work for equations other than heat, wave, and Laplace. Ancillary materials are available upon qualifying course adoption.

Print ISBN: 978-1-4398-1139-9 June 2010, 6-1/8 x 9-1/4, 343 pp., Soft Cover Suggested Price: $73.95 / £25.99

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Partial Differential EquationsTopics in Fourier AnalysisM.W. WongYork University, Toronto, Ontario, Canada

This text explains how to use the Fourier transform and heuristic methods to obtain significant insight into the solutions of standard PDE models. It shows how this powerful approach is valuable in getting plausible answers that can then be justified by modern analysis. Through its coverage of fundamental examples of PDEs, the book prepares students for studying more advanced topics and helps them appreciate PDEs as beautiful structures in analysis, rather than a bunch of isolated ad hoc techniques. Figure slides are available upon qualifying course adoption.


On Numbers and GamesSecond EditionJohn H. Conway

Originally written to define the relation between the theories of transfinite numbers and mathematical games, the resulting work is a mathematically sophisticated but eminently enjoyable guide to game theory. By defining numbers as the strengths of positions in certain games, the author arrives at a new class that includes both real numbers and ordinal numbers: surreal numbers. The second edition presents developments in mathematical game theory, focusing on surreal numbers and the additive theory of partisan games.

Print ISBN: 978-1-56881-127-7 December 2000, 256 pp. Suggested Price: $64.95 / £43.99

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CRC Standard Mathematical Tables and Formulae32nd EditionDaniel ZwillingerSeries: Discrete Mathematics and Its Applications

With over 6,000 entries, this comprehensive handbook continues to provide essential formulas, tables, figures, and descriptions, including many diagrams, group tables, and integrals not available online. Along with a new chapter on mathematical formulae from the sciences, the latest edition includes new material on contingency tables, estimators, process capability, runs test, sample sizes, cellular automata, knot theory, music, quaternions, and rational trigonometry. It also offers updated and more streamlined tables while retaining the successful format of previous editions.


CRC Encyclopedia of MathematicsThird Edition (Three-Volume Set)Eric W. WeissteinWolfram Research, Champaign, Illinois, USA

The third edition of this bestseller is now presented as a three-volume set, making it much more accessible and easier to use when searching for information. Accessible to anyone interested in mathematics, this edition now contains nearly 12,000 entries and is written in an informal style with improved typesetting and format. Each article provides definitions, formulas, illustrations, web links, bibliographic information, and facts from mathematics, the sciences, and engineering.

Print ISBN: 978-1-4200-7221-1 May 2009, 8-1/2 x 11, 4328 pp. Suggested Price: $520.00 / £331.00

Textbook

A Concise Introduction to Pure MathematicsThird EditionMartin LiebeckImperial College, London, UKSeries: Chapman & Hall/CRC Mathematics

A robust bridge between high school and higher-level mathematics, this text presents some of the most fundamental and beautiful ideas in pure mathematics. It covers not only standard material but also many interesting topics not usually encountered at this level. This third edition contains three new chapters that provide an introduction to mathematical analysis. It also includes solutions to all of the odd-numbered exercises. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-4398-3598-2 eBook ISBN: 978-1-4398-3599-9 August 2010, 6-1/8 x 9-1/4, 268 pp., Soft Cover Suggested Price: $62.95 / £26.99

Stochastic H2/H∞ ControlA Nash Game ApproachWeihai Zang and Lihua Xie

The H∞ control has been one of the important robust control approaches since the 1980s. This book extends the area to nonlinear stochastic H2/H∞ control and studies more complex and practically useful mixed H2/H∞ controller synthesis rather than the pure H∞ control. It applies the Nash game approach to give necessary and sufficient conditions for the existence and uniqueness of the mixed H2/H∞ control. Researchers will benefit from the detailed exposition of the stochastic mixed H2/H∞ control theory while practitioners can apply the efficient algorithms to address practical problems.

Print ISBN: 978-1-4665-7364-2 April 2014, 6-1/8 x 9-1/4, 300 pp.

Suggested Price: $129.95 / £82.00

Game Design TheoryA New Philosophy for Understanding GamesKeith BurgunDinofarm Games, Goldens Bridge, New York, USA

This work presents a bold new path for analyzing and designing games. The author offers a radical yet reasoned way of thinking about games and provides a holistic solution to understanding the difference between games and other types of interactive systems. He clearly details the definitions, concepts, and methods that form the fundamentals of this philosophy. He also uses the philosophy to analyze the history of games and modern trends as well as to design games.

Print ISBN: 978-1-4665-5420-7 eBook ISBN: 978-1-4665-5421-4 August 2012, 6 x 9, 188 pp., Soft Cover Suggested Price: $41.95 / £26.99

Distributed Strategic Learning for Wireless EngineersHamidou TembineÉcole Supérieure d’Électricité, Supelec, Paris, France

Establishing the link between several theories, this robust game theory cookbook demonstrates what is needed to learn strategic interaction in wireless networks under uncertainty, randomness, and time delays. It analyzes games where some parameters are uncertain and random. After the fundamentals of strategic learning and game theory, the text covers partially and fully distributed learning, combined learning for negotiation, bargaining solutions, Nash equilibria, Stackelberg solutions, correlated equilibria, conjectural variations, and satisfactory solutions. It concludes with practical algorithms and techniques to implement game theory in wireless networks.


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Number, Shape, & SymmetryAn Introduction to Number Theo- ry, Geometry, and Group TheoryDiane L. Herrmann and Paul J. Sally, Jr.University of Chicago, Illinois, USA

Through a careful treatment of number theory and geometry, this text helps readers understand serious mathematical ideas and proofs. It shows how number theory and geometry are essential components to understanding mathematics. Classroom-tested, the book draws on the authors’ successful work with undergraduate students at the University of Chicago, students in the University of Chicago’s Young Scholars Program, and elementary public school teachers in the Seminars for Endorsement in Science and Mathematics Education (SESAME). A solutions manual and figure slides are available upon qualifying course adoption.


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Mathematics and MusicComposition, Perception, and PerformanceJames S. Walker and Gary W. DonUniversity of Wisconsin, Eau Claire, USA

This accessible text teaches the basics of reading music and explains how various patterns in music can be described with mathematics. The authors extensively use the powerful time-frequency method of spectrograms to analyze the sounds created in musical performance. Numerous examples of music notation assist students in understanding basic musical scores. Video demos, music software, and more are available on the book’s CRC Press web page. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-6709-9 eBook ISBN: 978-1-4398-6710-5 April 2013, 7 x 10, 342 pp., Soft Cover Suggested Price: $59.95 / £38.99

Textbook

Math and ArtAn Introduction to Visual MathematicsSasho KalajdzievskiUniversity of Manitoba, Winnipeg, Canada

This introduction explores the potential of mathematics to generate visually appealing objects and reveals some of the beauty of mathematics. With color figures and animations on an accompanying CD-ROM, plus a 16-page color insert, it includes numerous illustrations, computer-generated graphics, photographs, and art reproductions to demonstrate how mathematics can inspire art. The text also contains simple proofs and exercises. Each chapter covers a cross section of mathematics, from fundamental Euclidean geometry, tilings, and fractals to hyperbolic geometry, platonic solids, and topology.

Print ISBN: 978-1-58488-913-7 eBook ISBN: 978-1-4398-8940-4 June 2008, 7 x 10, 272 pp., Soft Cover Suggested Price: $65.95 / £37.99

The Geometry of Musical RhythmWhat Makes a “Good” Rhythm Good?Godfried T. ToussaintNew York University Abu Dhabi, United Arab Emirates

This is the first book to provide a systematic and accessible computational geometric analysis of the musical rhythms of the world. It explains how the study of the mathematical properties of musical rhythm generates common mathematical problems that arise in a variety of seemingly disparate fields. The book also introduces the distance approach to phylogenetic analysis and illustrates its application to the study of musical rhythm. Accessible to both academics and musicians, the text requires a minimal set of prerequisites.

Print ISBN: 978-1-4665-1202-3 eBook ISBN: 978-1-4665-1203-0 January 2013, 7 x 10, 365 pp., Soft Cover Suggested Price: $39.95 / £25.99

Textbook

CryptologyClassical and Modern with MapletsRichard E. KlimaAppalachian State University, Boone, North Carolina, USA

Neil P. SigmonRadford University, Virginia, USASeries: Discrete Mathematics and Its Applications

In a clear, nontechnical manner, this text explains how fundamental mathematical concepts are the bases of cryptographic algorithms. It covers the Enigma machine and Navajo code used during World War II, describes the implementation and cryptanalysis of classical ciphers, and gives straightforward explanations of the AES, public-key ciphers, and message authentication. The book assumes minimal mathematical prerequisites and incorporates easy-to-use Maplets throughout that provide practical examples of the techniques. The Maplets are available for download online. A solutions manual and figure slides are available upon qualifying course adoption.


Textbook

The CryptoclubUsing Mathematics to Make and Break Secret CodesJanet Beissinger and Vera Pless

This book has many hands-on activities that have been tested in classrooms and informal settings. It covers classic coding methods, such as Caesar, substitution, Vigenère, and multiplicative ciphers, as well as the modern RSA. It also discusses math topics, including addition and subtraction with negative numbers, decimals, and percentages, factorization, modular arithmetic, exponentiation, prime numbers, and frequency analysis. The accompanying workbook provides students with problems related to each section to help them master the concepts introduced throughout the text.

Print ISBN: 978-1-56881-223-6 November 2006, 8 x 9, 200 pp., Soft Cover Suggested Price: $41.95 / £28.99

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Divided SpheresGeodesics and the Orderly Subdivision of the SphereEdward S. Popko

This well-illustrated book—in color throughout—presents a thorough introduction to the mathematics of Buckminster Fuller’s invention of the geodesic dome, which paved the way for a flood of practical applications as diverse as weather forecasting and fish farms. The author explains the principles of spherical design and the three main categories of subdivision based on geometric solids (polyhedra). He illustrates how basic and advanced CAD techniques apply to spherical subdivision and covers modern applications in product design, engineering, science, games, and sports balls.


Textbook

Basic Algebraic TopologyAnant R. ShastriIndian Institute of Technology Bombay, Mumbai, Maharastra

Thoroughly classroom-tested, this self-contained text provides plenty of material for a two-semester first course in algebraic topology, taking students all the way to becoming algebraic topologists. It covers many important results, concepts, and applications in standard algebraic topology—including topics not typically covered in introductory texts. Also suitable for researchers, the book provides references for further reading, presents full proofs of all results, and includes numerous exercises. A solutions manual and figure slides are available upon qualifying course adoption.


Turning a Sphere Inside Out Nelson L. Max

This video is about the problem of turning a sphere inside out by passing the surface through itself without making any holes or creases. The motion of turning a sphere inside out, called a regular homotopy, is extremely difficult to visualize. The homotopy in this film was developed by Bernard Morin, a blind mathematician. The motion is illustrated with a sequence of chicken-wire models built by Charles Pugh, showing the crucial stages in the motion. Commentary is provided by Nelson L. Max, Stephen Smale, Charles Pugh, and Judith Bregmann.

Print ISBN: 978-1-4665-5394-1 March 2012, DVD Suggested Price: $37.95 / £23.99

Schrödinger’s Killer AppRace to Build the World’s First Quantum ComputerJonathan P. DowlingLouisiana State University, Baton Rouge, USA

Written by a renowned quantum physicist, this book presents an inside look at the U.S. government’s quest to build a quantum computer capable of solving complex mathematical problems and hacking the public-key encryption codes used to secure the Internet. The “killer app” refers to Shor’s quantum factoring algorithm, which would unveil the encrypted communications of the entire Internet if a quantum computer could be built to run the algorithm. Schrödinger’s notion of quantum entanglement (and his infamous cat) is at the heart of it all.

Print ISBN: 978-1-4398-9673-0 eBook ISBN: 978-1-4398-9674-7 May 2013, 6-1/8 x 9-1/4, 453 pp., Soft Cover Suggested Price: $39.95 / £25.99

Textbook

Puzzles, Paradoxes, ProblemsAn Introduction to Mathematical ThinkingDouglas R. Shier and Marilyn A. RebaClemson University, South Carolina, USA

Taking an alternative approach to related math texts for liberal arts students, this classroom-tested book emphasizes mathematical representations, strategies, and solution methods that address both engaging puzzles and important societal problems. Students learn effective ways to decipher, manipulate, and decompose problems; reframe paradoxes; control complexity; and team with others to find creative, if only approximate, solutions. The book helps students discover that mathematical thinking extends beyond traditional algebra and calculus.

Print ISBN: 978-1-4822-2753-6 April 2014, 7 x 10, 750 pp. Suggested Price: $99.99 / £63.99

The Physics CompanionSecond EditionA.C. Fischer-CrippsFischer-Cripps Laboratories Pty Ltd, Sydney, Australia

While retaining the same clear, figure-rich descriptions, this second edition has been updated and expanded with new topics. An ideal revision aid and study guide for undergraduate students, the book covers the core topics in physics, including thermal physics, electricity and magnetism, waves and optics, mechanics, states of matter, and quantum physics. It offers a unique approach to learning through the use of detailed graphics, simple explanations of difficult concepts, and annotated mathematical treatments.

Print ISBN: 978-1-4665-1779-0 June 2014, 6 x 9, 448 pp., Soft Cover Suggested Price: $39.95 / £25.99

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IsosurfacesGeometry, Topology, & AlgorithmsRephael WengerThe Ohio State University, Columbus, USA

This work represents the first book to focus on basic algorithms for isosurface construction. It also gives a rigorous mathematical perspective on some o f algorithms and results. In color throughout, the book covers the Marching Cubes algorithm and variants, dual contouring algorithms, multilinear interpolation, multiresolution isosurface extraction, isosurfaces in four dimensions, interval volumes, and contour trees. It also describes data structures for faster isosurface extraction as well as methods for selecting significant isovalues.


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An Illustrated Introduction to Topology and HomotopySasho KalajdzievskiUniversity of Manitoba, Winnipeg, Canada

This text explores the beauty of topology and homotopy theory in a direct, engaging, and accessible manner while illustrating the power of the theory through many, often surprising, applications. The author covers basic topology, ranging from the axioms of topology to proofs of important theorems. He also discusses the classification of compact, connected manifolds, ambient isotopy, and knots, which leads to coverage of homotopy theory. A solutions manual is available upon qualifying course adoption.


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Geometry, Topology and PhysicsSecond EditionM. NakaharaKinki University, Osaka, Japan

This book starts with a brief survey of quantum field theory, gauge theory, general relativity, vector spaces, and topology. Using many illustrations, exercises, and problems, the author also demonstrates more elaborate concepts of topology and geometry, including fiber bundles, characteristic classes, and index theorems. New to this second edition is the proof of the index theorem in terms of supersymmetric quantum mechanics. The final two chapters examine anomalies in gauge field theories and the analysis of Polakov’s bosonic string theory from the geometrical point of view.


The Geometry of Special RelativityTevian DrayOregon State University, Corvallis, USA

Well known for connecting mathematical rigor to physics applications, the author of this book presents special relativity in a geometric framework using basic trigonometry. A distinctive feature of the text is its emphasis on the equivalence between special and hyperbolic trigonometry. Suitable for mathematicians and physicists, the book shows how the fascinating and easily accessible mathematics topic of hyperbolic triangle trigonometry is useful in solving relativity problems.

Print ISBN: 978-1-4665-1047-0 eBook ISBN: 978-1-4665-1048-7 July 2012, 6 x 9, 150 pp. Suggested Price: $36.95 / £22.99

A Functorial Model TheoryNewer Applications to Algebraic Topology, Descriptive Sets, and Computing Categories ToposCyrus F. NouraniIndependent Consultant in Computing R&D, San Francisco, California

This book is an introduction to a functorial model theory based on infinitary language categories. The author introduces the properties and foundation of these categories before developing a model theory for functors starting with a countable fragment of an infinitary language. He also presents a new technique for generating generic models with categories by inventing infinite language categories and functorial model theory. In addition, the book covers string models, limit models, and functorial models.


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Elements of TopologyTej Bahadur SinghUniversity of Delhi, India

Intended for advanced undergraduate and beginning graduate students, this text provides a basic introduction to point-set topology and algebraic topology. Topics discussed include the theory of convergence, function spaces, topological transformation groups, fundamental groups, and covering spaces. The author makes the subject accessible by providing numerous end-of-section exercises as well as more than 250 worked examples and counterexamples with applications. A solutions manual and figure slides are available upon qualifying course adoption.


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Introduction to Mathematical Modeling and Chaotic DynamicsRanjit Kumar UpadhyayIndian School of Mines, Dhanbad

Satteluri R.K. IyengarGokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India

Suitable for advanced undergraduate and graduate students, this text focuses on mathematical models in natural systems, particularly ecological systems. It provides a practical understanding of how the models are used in current natural science and engineering applications. Most of the models presented are solved using MATLAB®. Along with a variety of exercises and solved examples, the text presents all the fundamental concepts and mathematical skills needed to build models and perform analyses. A solutions manual and figure slides are available upon qualifying course adoption.


Introduction to Computational Modeling Using C and Open-Source ToolsJose M. GarridoKennesaw State University, Georgia, USASeries: Chapman & Hall/CRC Computational Science

Because computational models usually require high-performance computing to solve large and complex scientific problems, this book presents an introduction to computational models and their implementation using the C programming language. The book covers basic to semi-advanced principles of computational modeling at the level of calculus and intermediate programming. Emphasis is on reasoning about problems, conceptualizing the problem, mathematical modeling, and their computational solution that involves computing results and visualization.


Handbook of Peridynamic ModelingEdited by

Florin Bobaru, John T. Foster, Philippe H Geubelle, and Stewart A. SillingSeries: Modern Mechanics and Mathematics

This handbook covers the peridynamic modeling of failure and damage. Peridynamics is a reformulation of continuum mechanics based on the integration of interactions rather than the spatial differentiation of displacements. The book extends the classical theory of continuum mechanics to allow unguided modeling of crack propagation/fracture in brittle, quasi-brittle, and ductile materials; autonomous transition from continuous damage/fragmentation to fracture; modeling of long-range forces within a continuous body; and multiscale coupling in a consistent mathematical framework.

Print ISBN: 978-1-4822-3043-7 June 2014, 7 x 10, 600 pp. Suggested Price: $149.95 / £95.00

Economic-Mathematical Methods and Models under UncertaintyA.G. AliyevNational Academy of Science of Azerbaijan, Baku

This book covers mathematical programming using the postulate spatial-time certainty of economic processes at uncertainty conditions in finite-dimensional vector space and the principle piecewise-linear homogeneity of economic processes at uncertainty conditions in finite-dimensional vector space. It develops a special theory on constructing piecewise-linear economic-mathematical models and proposes a criterion of multivariate prediction of economic processes and their control at uncertainty conditions in a finite-dimensional vector space.


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Computer Graphics Through OpenGLFrom Theory to ExperimentsSumanta GuhaAsian Institute of Technology, ThailandSeries: Chapman & Hall/CRC Computer Graphics, Geometric Modeling, and Animation

Using an active learning style to teach key concepts, this comprehensive introduction provides students with an understanding not only of the principles of 3D computer graphics, but also the use of the OpenGL API to program 3D applications. It includes 140 programs with 200 experiments based on them as well as 600 exercises, 100 worked examples, and nearly 600 color illustrations. Supporting materials can be found on the author’s website. A solutions manual and test bank are available upon qualifying course adoption.

Print ISBN: 978-1-4398-4620-9 eBook ISBN: 978-1-4665-0337-3 September 2010, 7 3/8 x 9 1/4, 888 pp. Suggested Price: $104.95 / £55.99

Analysis of Complex DiseasesA Mathematical PerspectiveGuanyu Wang

Since the clarification of the human genome, the massive accumulation of data makes it necessary to design computer models to evaluate genetic and epigenetic characteristics in terms of healthy and pathologic reactions. These models will play essential roles in future diagnostics and therapy planning of diseases. Taking an interdisciplinary look at this translational subject, this book explains how mathematical modeling and analysis are critical to the future of diagnostics and therapeutics in medicine.


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Background Modeling and Foreground Detection for Video SurveillanceEdited by

Thierry Bouwmans, Fatih Porikli, Benjamin Höferlin, and Antoine Vacavant

For video surveillance, it is critical that a computer be able to distinguish between stationary, background objects, and moving objects that are of interest for detection. This book describes both traditional and novel background modeling methods, applications in video surveillance, and the details of hardware, implementation, benchmarking, and evaluation. It describes mathematical tools useful in background modeling and foreground detection, such as statistical models, clustering models, neural networks, and fuzzy sets.


Textbook

Simulation of Dynamic Systems with MATLAB® and Simulink®

Second EditionHarold Klee and Randal AllenUniversity of Central Florida, Orlando, USA

Employing the widely adopted MATLAB® and Simulink® software packages, this best-selling book integrates coverage of continuous simulation and the essential prerequisites in one resource. The text takes readers through the process of converting a mathematical model of a continuous or discrete system into a simulation model, exploring source code implementation to convey the dynamic behavior of systems. This edition expands coverage of common nonlinearities and introduces the Kalman filter. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-3673-6 eBook ISBN: 978-1-4398-7778-4 February 2011, 7 x 10, 815 pp. Suggested Price: $154.95 / £99.00

Modeling and Inverse Problems in the Presence of UncertaintyH. Thomas Banks, Shuhua Hu, and William Clayton ThompsonNorth Carolina State University, Raleigh, USASeries: Monographs and Research Notes in Mathematics

This book is suitable for applied mathematicians, physicists, biomathematics, and engineers interested in deterministic models in relation to stochastic models and their interactions. It covers two major types of problems: modeling and inverse problems where one assumes that there is a precise mathematical model without a modeling error given by a dynamical system and another where the mathematical model itself is a major source of uncertainty and this uncertainty is propagated in time.

Print ISBN: 978-1-4822-0642-5 March 2014, 6-1/8 x 9-1/4, 300 pp. Suggested Price: $89.95 / £57.99

Model-Based Tracking Control of Nonlinear SystemsElzbieta JarzebowskaWarsaw University of Technology, PolandSeries: Modern Mechanics and Mathematics

To support the control design process, this book presents model-based control techniques for nonlinear, constrained systems. It covers constructive control design methods with an emphasis on modeling constrained systems, generating dynamic control models, and designing tracking control algorithms for the models. The author shows how system modeling and control theory are both essential to control design projects and presents a new tracking control strategy architecture. Each chapter includes numerous examples, problems, and references.


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Mathematical ModelingModels, Analysis and ApplicationsSandip BanerjeeIndian Institute of Technology, Roorkee

This how-to guide offers a wide-ranging overview of mathematical ideas and techniques that provide a number of effective approaches to problem solving. Topics covered include spatial and stochastic modeling. The text provides real-life examples of discrete and continuous mathematical modeling scenarios. MATLAB®, Mathematica®, and MatCont are incorporated throughout the text. The examples and exercises in each chapter can be used as problems in a project. A solutions manual and figure slides are available upon qualifying course adoption.


Lozi MappingsTheory and ApplicationsZeraoulia ElhadjUniversity of Tébessa, Algeria

This book is a comprehensive collection of known results about the Lozi map, a piecewise-affine version of the Henon map. The Henon map is one of the most studied examples in dynamical systems, but it is difficult to analyze analytically. A simpler structure of the Lozi map makes it more suitable for such analysis. The book not only presents a good introduction to the Lozi map and its generalizations but also summarizes important concepts in dynamical systems theory. such as hyperbolicity, SRB measures, and attractor types.


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Game-Theoretical Models in BiologyMark BroomCity University, London, UK

Jan RychtarUniversity of North Carolina at Greensboro, USASeries: Chapman & Hall/CRC Mathematical & Computational Biology

Covering the major topics of evolutionary game theory, this text presents both abstract and practical mathematical models of real biological situations. Suitable for readers studying and working at the interface of mathematics and the life sciences, it shows how evolutionary game theory is used in the modeling of diverse biological phenomena. The authors discuss the static aspects of game theory in a mathematically rigorous way and explore many applications of game theory to biology. A solutions manual is available upon qualifying course adoption.


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Dynamical Models in MedicineYang KuangArizona State University, Tempe, USA

John NagyScottsdale Community College, Arizona, USASeries: Chapman & Hall/CRC Mathematical & Computational Biology

This self-contained book focuses on three categories of disease: cancer, viral, and dynamic. It presents the medical and biological background of these diseases, specific issues for modeling, and existing methods and their limitations. It introduces mathematical and programming tools, along with analytical and numerical studies of models. It provides end-of-chapter exercises and projects, along with lecture notes, homework problems, computer programs, and other material on a supplementary website. Figure slides are available upon qualifying course adoption.


Cellular Potts ModelsMultiscale Extensions and Biological ApplicationsMarco Scianna and Luigi PreziosiPolitecnico di Torino, ItalySeries: Chapman & Hall/CRC Mathematical & Computational Biology

This work shows how the cellular Potts model can be used as a framework for model building and how extended models can achieve even better biological practicality, accuracy, and predictive power. It focuses on ways to integrate and interface the basic cellular Potts model at the mesoscopic scale with approaches that accurately model microscopic dynamics. These extensions are designed to create a nested and hybrid environment, where the evolution of a biological system is realistically driven by the constant interplay and flux of information between the different levels of description.


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Variational Methods in Image ProcessingLuminita A. VeseUniversity of California, Los Angeles, USASeries: Chapman & Hall/CRC Mathematical & Computational Imaging Sciences

Balancing theory with practical approaches, this book covers a wide range of variational methods and their applications. The first part of the text focuses on image restoration, covering regularization, minimization, and nonlocal and higher-order variational methods. The second part addresses image segmentation, including the Mumford and Shah segmentation problem. The final section discusses varational image processing on manifolds. An accompanying CD-ROM includes MATLAB® code and color figures. A solutions manual and figure slides are available upon qualifying course adoption.


Image Processing for CinemaMarcelo BertalmíoSeries: Chapman & Hall/CRC Mathematical & Computational Biology

This book covers image processing techniques used in film making, from the shooting stage to the final exhibition. These techniques make the images look as good as possible and take advantage of the capabilities of cameras, projectors, and displays. Each chapter presents a particular problem and then illustrates how state-of-the-art methods address the problem, with an emphasis on techniques most used in practice. The book also includes many tables and illustrations.


Handbook on Soft Computing for Video SurveillanceEdited by

Sankar K. PalIndian Statistical Institute, Kolkata

Alfredo PetrosinoUniversity of Naples Parthenope, Italy

Lucia MaddalenaNational Research Council, Naples, ItalySeries: Chapman & Hall/CRC Cryptography and Network Security

This handbook illustrates the application of soft computing techniques to different tasks in video surveillance. After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. The remaining chapters explain how soft computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development.


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Stochastic Dynamics for Systems BiologyChristian MazzaUniversity of Fribourg, Switzerland

Michel BenaimNeuchatel University, Switzerland

This book describes the stochastic dynamics modeling of gene expression processes not only at the cell level but also at higher organization levels, such as in morphogenesis. The book is one of the first to provide a systematic study of the many models used in the life sciences. Designed as a reference for mathematical biologists, systems biologists, biophysicists, and biomedical engineers, it can also be used as a text in advanced courses and includes exercises.


Pharmacokinetic and Pharmacodynamic Data AnalysisConcepts and Applications, Fourth EditionJohan GabrielssonSwedish University of Agricultural Sciences, Uppsala, Sweden

Daniel WeinerWest Virginia University, Morgantown, USA

This essential professional resource is regarded as the most comprehensive and practical guide to the design, analysis, and interpretation of kinetic and dynamic experiments. Using a pedagogical, accessible approach, it provides the expertise needed to resolve commonly appearing problems. This fourth edition adds new case studies to support basic concepts in PK/PD and includes a CD with all exercises and WinNonlin model/command files.

Print ISBN: 978-9-19-765100-4 July 2007, 1250 pp. Suggested Price: $219.95 / £141.00

Patterns in Excitable MediaGenesis, Dynamics and ControlS. SridharSitabhra SinhaInstitute of Mathematical Sciences, Chennai, India

This book covers recent developments in the interdisciplinary field of dynamics and control of patterns in nonlinear biological systems described by excitable media models. Using examples of many real-life systems, it explores the impact of pattern dynamics on the structural and functional heterogeneities in the system. The book also discusses low-amplitude control schemes for eliminating patterns from an excitable medium, such as life-threatening cardiac arrhythmia. Codes for numerical simulation are provided in the appendix.


Modeling and Control for Micro/Nano Devices and SystemsEdited by

Ning XiMichigan State University, East Lansing, USA

Mingjun ZhangUniversity of Tennessee, Knoxville, USA

Guangyong LiUniversity of Pittsburgh, Pennsylvania, USASeries: Automation and Control Engineering

This book provides a unified overview of the rapidly emerging field of micro/nano system modeling and control. It gives managers, researchers, and graduate students easy access to the expert contributors’ cutting-edge knowledge and skills in this crucial field. The editors present an especially wide-ranging overview, covering topics as diverse as systems biology and sensors. The book also includes various case studies for modeling of micro/nano devices and systems and explains how the models can be used for control and optimization purposes.


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An Introduction to Systems BiologyDesign Principles of Biological CircuitsUri AlonWeizmann Institute of Science, Rehovot, IsraelSeries: Chapman & Hall/CRC Mathematical & Computational Biology

Highlighting simple, recurring circuit elements that make up a network, this book presents design principles that govern the structure and behavior of biological networks. It provides a quantitative theory for which circuits are found in a given environment and a mathematical framework for understanding and designing biological circuits. Requiring knowledge of only basic mathematics, it reviews necessary background material and introduces the concepts, principles, and mathematical tools that will drive future developments in the field. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-58488-642-6 July 2006, 7 x 10, 320 pp., Soft Cover Suggested Price: $65.95 / £41.99

An Introduction to Physical OncologyTowards Transitional Application of Multiscale Cancer ModelingVittorio Cristini and Zhihui WangUniversity of New Mexico, Albuquerque, USA

This book focuses on the new area of physical oncology, which quantifies the role of physical transport processes over multiple scales in cancer growth. The book presents a theoretical multiscale modeling framework for the integration of processes spanning from molecular signaling to individual and collective cellular behavior to complex spatiotemporal dynamics at the tissue and organ levels. It also discusses how to incorporate experimental and patient data into the modeling and illustrates multiscale modeling approaches in several applications, including breast cancer and nanoparticle-based delivering strategies.


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Applications of Percolation TheorySecond EditionMuhammad SahimiUniversity of Southern California, Los Angeles, USA

Percolation theory provides a mathematical framework for the study of random physical processes, such as flow through disordered porous media. It spans applications in the physical sciences and beyond natural phenomena. Double in size, this second edition provides an up-to-date account of these applications. After reviewing the theory, the book covers a range of applications and variations. Well known in the field, the author presents examples in phase transitions, semiconductors, geology, astrophysics, network modeling, and the social sciences.


Algebraic and Stochastic Coding TheoryDave K. KytheErnst & Young LLP, Los Angeles, California, USA

Prem K. KytheUniversity of New Orleans, Louisiana, USA

Written primarily for senior undergraduate and graduate students, this book makes the subject of coding theory easy to understand. With a simple yet rigorous analytic and computational approach, it explains each code, describing applications as well as advantages and disadvantages. More advanced readers will appreciate the discussion of modern developments in coding theory and the coverage of stochastic processes. Robust and self-contained, the book illustrates the codes with more than 200 examples.


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Advanced Engineering Mathematics with MATLAB®

Third EditionDean G. DuffyFormer Instructor, U.S. Naval Academy, Annapolis, Maryland, USA

This updated and expanded edition continues to integrate technology into the conventional topics of engineering mathematics. Along with new examples, problems, and projects, this edition incorporates new chapters on Green’s functions, probability, and random processes. It also includes a new section that uses the matrix exponential to solve systems of differential equations as well as more numerical methods for solving differential equations. MATLAB® scripts and other materials are available on the book’s CRC Press web page. A solutions manual is available upon qualifying course adoption.


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Advanced Engineering MathematicsLarry TurynWright State University, Dayton, Ohio, USA

This self-contained, thorough text addresses the mathematical knowledge gaps of students in engineering. It extends their knowledge of previously studied topics and introduces new topics. The text begins with linear algebra and calculus of variations. It covers all the core material, including ODEs, matrix algebra, Fourier series and transforms, numerical methods, and PDEs. After studying this book, students will be mathematically prepared for engineering courses at the graduate level. Ancillary materials for students and instructors are available upon qualifying course adoption.


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Systems BiologyMathematical Modeling and Model AnalysisAndreas KremlingTechnical University Munich, GermanySeries: Chapman & Hall/CRC Mathematical & Computational Biology

Drawing on the latest research in the field, this text presents many methods for modeling and analyzing biological systems, in particular cellular systems. It shows how to use predictive mathematical models to acquire and analyze knowledge about cellular systems. It also explores how the models are systematically applied in biotechnology and includes end-of-chapter exercises and many analytical and numerical examples. MATLAB® code is available on the book’s CRC Press web page. Figure slides are available upon qualifying course adoption.


Synthetic Gene NetworkModeling, Analysis and Robust Design MethodsBor-Sen Chen and Yu-Chao WangNational Tsing Hua University, Hsinchu, Taiwan

This book develops a rational design and systematic approach to construct a gene network with desired behaviors. It introduces the registry of standard biological parts and experimental techniques. It then characterizes biological components by a standard modeling method and in the component libraries, which can be efficiently reused in engineering synthetic gene networks. The book also provides some design specifications based on system theory to engineer the synthetic gene networks to robustly track the desired trajectory by employing the component libraries.


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Foundations of Interconnection NetworksA. Yavuz OrucUniversity of Maryland, College Park, USA

Manish Kumar ShuklaMicrosoft, Inc., Waltham, Massachusetts, USA

Suitable for researchers and graduate students in computer science, electrical engineering, and applied mathematics, this book presents a concise yet complete account of the most significant results in interconnection network theory. The authors give the mathematical classification and characterization of key interconnection functions of networks and establish their switching factor complexities using combinatorial methods. The text leads readers through the historical development, covering major contributions from Shannon, Clos, Benes, Cantor, Pinsker, and Margulis. It also explores recent results, such as quantum switching networks.


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A First Course in Differential Equations, Modeling, and SimulationCarlos A. Smith and Scott W. CampbellUniversity of South Florida, Tampa, USA

This text avoids overly theoretical explanations and shows readers how differential equations are derived by applying basic physical principles and experimental observations to engineering systems. It covers classical methods for obtaining the analytical solution of differential equations and Laplace transforms. The authors also discuss how these equations describe mathematical systems and how to use software to solve sets of equations in which analytical solutions cannot be determined. Numerical values are provided in all examples and problems. A solutions manual and figure slides are available upon qualifying course adoption.


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Finite Element Analysis of Composite Materials Using ANSYSSecond EditionEver J. BarberoWest Virginia University, Morgantown, USASeries: Composite Materials

This second edition of a bestseller has been completely revised to reflect advances in the state of the art in such areas as modeling of damage in composites. In addition, all 50-plus worked examples have been updated to reflect the newest version of ANSYS V.15. This book remains the only finite element analysis text that uses commercially available software to analyze composite materials. A solutions manual and figure slides are available upon qualifying course adoption.


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Finite Element Analysis of Composite Materials Using Abaqus™Ever J. BarberoWest Virginia University, Morgantown, USASeries: Composite Materials

This text shows how powerful finite element tools address practical problems in the structural analysis of composites. Unlike other texts, this one takes the theory to a hands-on level by actually solving problems. It explains the concepts involved in the detailed analysis of composites, the mechanics needed to translate those concepts into a mathematical representation of the physical reality, and the solution of the resulting boundary value problems using the commercial finite element analysis software Abaqus™. A solutions manual and figure slides are available upon qualifying course adoption.


Continuous Time Dynamical SystemsState Estimation and Optimal Control with Orthogonal FunctionsB.M. MohanIndian Institute of Technology, Kharagpur

S.K. KarInstitute of Technical Education & Research, SOA University, Bhubaneswar, India

This book presents the developments in problems of state estimation and optimal control of continuous-time dynamical systems using orthogonal functions. It deals with both full and reduced-order state estimation and problems of linear time-invariant systems. It also addresses optimal control problems of continuous-time systems, such as linear and nonlinear systems, time-invariant and time-varying systems, as well as delay-free and time-delay systems. The authors focus on the development of recursive algorithms for studying state estimation and optimal control problems.


Computational Methods for Data Evaluation and AssimilationDan Gabriel Cacuci and Mihaela Ionescu-BujorUniversity of Karlsruhe, Eggenstein-Leopoldshafen, Germany

Ionel Michael NavonFlorida State University, Tallahassee, USA

This self-contained book presents interdisciplinary methods for integrating experimental and computational information in many scientific and engineering areas. It explains how to estimate covariances and confidence intervals from experimental data. It then describes algorithms for both unconstrained and constrained minimization of large-scale systems. The book also discusses several basic principles of four-dimensional variational assimilation (4D VAR) and highlights specific difficulties in applying 4D VAR to large-scale operational numerical weather prediction models.


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LMIs in Control SystemsAnalysis, Design and ApplicationsGuang-Ren DuanHarbin Institute of Technology, Center for Control Theory and Guidance Technology, China

Hai-Hua Yu

This book provides a relatively systematic introduction to the basic results in linear matrix inequality (LMI)-based control systems analysis and design. Designed for graduate and senior undergraduate courses in control systems analysis and design, it focuses on the analysis and design problems of both continuous- and discrete-time linear systems based on LMI methods. A solutions manual and figure slides are available upon qualifying course adoption.


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Linear Algebra and Probability for Computer Science ApplicationsErnest DavisCourant Institute of Mathematical Sciences, New York University, New York, USA

Assuming as little mathematical background as possible, this classroom-tested text focuses on mathematical techniques that are most relevant to computer scientists. It covers applications from computer graphics, web search, machine learning, cryptography, and a host of other computer science areas. The first section of the text focuses on linear algebra and the second section discusses probability. MATLAB® functions, MATLAB programming assignments, and problems are included in each chapter. MATLAB code is available on the author’s website. Figure slides are available upon qualifying course adoption.


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Introduction to MATLAB® with Applications for Chemical and Mechanical EngineersDaniel G. CoronellRose-Hulman Institute of Technology, Indiana, USA

This text presents many case studies and applications from chemical engineering and biotechnology, including thermodynamics, heat transfer, fluid mechanics, and mass transfer. It features a section on input, output, and storage of data as well as a section on data analysis and parameter estimation that contains statistical analysis, curve fitting optimization, and error analysis. It also offers instruction on the use of the MATLAB® optimization toolbox and includes a CD of MATLAB programs. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-58488-512-2 March 2014, 6-1/8 x 9-1/4, 448 pp., Soft Cover Suggested Price: $69.95 / £44.99

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An Introduction to Mechanical EngineeringPart 2Michael Clifford, Richard Brooks, Kwing-So Choi, Donald Giddings, Alan Howe, Thomas Hyde, Arthur Jones, and Edward Williams

Designed for second-year undergraduate students, this text provides thorough coverage of fluid dynamics, thermodynamics, solid mechanics, control theory and techniques, mechanical power, loads and transmissions, and structural vibration. Worked examples of exam-style questions, multiple-choice self-assessment problems, and revision guides are available on a companion website.

Print ISBN: 978-0-340-93996-3 August 2010, 8 1/4 x 10 6/7, 752 pp., Soft Cover Suggested Price: $73.95 / £41.99

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An Introduction to Mechanical EngineeringPart 1Michael Clifford, Richard Brooks, Alan Howe, Andrew Kennedy, Stewart McWilliam, Stephen Pickering, Paul Shayler, and Philip Shipway

This essential text gives first-year undergraduate students a thorough grounding in the following core engineering topics: thermodynamics, fluid mechanics, solid mechanics, dynamics, electrical and electronics engineering, and materials science. Written by an experienced team of lecturers, the book provides worked examples of exam-style questions, multiple-choice self-assessment problems, and revision guides on a companion website.

Print ISBN: 978-0-340-93995-6 April 2009, 8 1/4 x 10 6/7, 512 pp., Soft Cover Suggested Price: $73.95 / £41.99

Fourier Modal Method and Its Applications in Computational NanophotonicsHwi KimKorea University, South Korea

Junghyun ParkNeoEnBiz, Bucheon, South Korea

Byoungho LeeSeoul National University, South Korea

Most available books on computational electrodynamics are focused on FDTD, FEM, or other specific techniques developed in microwave engineering. Authored by well-known experts in the field, this book is a complete guide to the principles and detailed mathematics of the up-to-date Fourier modal method of optical analysis. It takes readers through the implementation of MATLAB® codes for the practical modeling of well-known and promising nanophotonic structures. The authors also address the limitations of the Fourier modal method.


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Networked Multisensor Decision and Estimation FusionBased on Advanced Mathematical MethodsYunmin Zhu, Jie Zhou, Xiaojing Shen, Enbin Song, and Yingting LuoSichuan University, Chengdu, China

Multisource information fusion has become a crucial technique in areas, such as sensor networks, space technology, air traffic control, military engineering, communications, industrial control, agriculture, and environmental engineering. Exploring recent significant results, this book presents essential mathematical descriptions and methods for multisensory decision and estimation fusion. It covers general adapted methods and systematic results, includes computer experiments to support the theoretical results, and fixes several popular but incorrect results in the field.


Multistage Separation ProcessesFourth EditionFouad M. KhouryUniversity of Houston, Texas, USA

Building on the previous edition’s approach, this fourth edition covers the theory, mathematical models, and applications for a comprehensive list of processes. Along with more examples and exercises, this edition revises all chapters, adds several new sections, and includes an entirely new chapter on fluid-solid operations. The book can be used as a textbook for undergraduate and graduate students or as a reference for practicing engineers in the process industry.


Meshless Methods and Their Numerical PropertiesHua LiNanyang Technological University, Singapore

Shantanu S. MulaySingapore-MIT Alliance for Research and Technology (SMART)

This comprehensive introduction gives complete mathematical formulations for the most important and classical methods as well as several ones recently developed by the authors. It also offers a rigorous mathematical treatment of the numerical properties—including consistency, convergence, stability, and adaptivity—to help readers choose the method that is best for their needs. The book contains several examples of engineering applications, including the nonlinear fluid-structure analysis of near-bed submarine pipelines and the two-dimensional multiphysics simulation of pH-sensitive hydrogels.

Print ISBN: 978-1-4665-1746-2 eBook ISBN: 978-1-4665-1747-9 February 2013, 6-1/8 x 9-1/4, 447 pp. Suggested Price: $179.95 / £114.00

Measure Theory and Fine Properties of FunctionsLawrence C. EvansUniversity of California, Berkeley, USA

Ronald F. GariepyUniversity of Kentucky, Lexington, USASeries: Studies in Advanced Mathematics

This book examines the central assertions of measure theory in n-dimensional Euclidean space and emphasizes the roles of Hausdorff measure and the capacity in characterizing the find properties of sets and functions. It covers abstract measure theory, theorems and differentiation in Mn, lower Hausdorff measures, area and coarea formulas for Lipschitz mappings and related change-of-variable formulas, and Sobolev functions and functions of bounded variation. The text includes proofs of many key results omitted from other books, including Besicovitch’s covering theorem, Rademacher’s theorem, and the area and coarea formulas.


Mathematical Techniques for Wave Interaction with Flexible StructuresTrilochan SahooIndian Institute of Technology, KharagpurSeries: IIT Kharagpur Research Monograph

This book presents a contemporary account of research on various mathematical/numerical techniques to deal with the interaction of surface gravity waves with flexible floating/submerged structures. It emphasizes the unique determination of the solution for a class of physical problems associated with Laplace- or Helmholtz-type equations, applications of the theory of ODEs and PDEs, Fourier analysis, and more. It provides a toolkit for a large section of the scientific community, including mathematicians, physicists, and engineers working on fluid-structure interactions.


Mathematical Morphology in Geomorphology and GISciBehara Seshadri Daya SagarIndian Statistical Institute, Bangalore

This book presents a multitude of mathematical morphological approaches for processing and analyzing digital images in quantitative geomorphology and geographic information science (GISci). Covering many interdisciplinary applications, the book explains how to use mathematical morphology not only to perform quantitative morphologic and scaling analyses of terrestrial phenomena and processes, but also to deal with challenges encountered in quantitative spatial reasoning studies. Easy-to-understand equations, straightforward explanations, and clear illustrations allow readers without a background in mathematical morphology to understand the material and implement the ideas.


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Physical OceanographyA Mathematical Introduction with MATLAB®

Reza Malek-MadaniU.S. Naval Academy, Annapolis, Maryland, USA

Accessible to advanced undergraduate students, this text demonstrates how to use the basic tenets of multivariate calculus to derive the governing equations of fluid dynamics in a rotating frame. It also explains how to use linear algebra and PDEs to solve basic initial-boundary value problems that have become the hallmark of physical oceanography. The book makes the most of MATLAB®’s matrix algebraic functions, differential equation solvers, and visualization capabilities and includes chapter projects that incorporate MATLAB programming. Figure slides are available upon qualifying course adoption.


Optimal Estimation of Dynamic SystemsSecond EditionJohn L. CrassidisState University of New York-Buffalo, USA

John L. JunkinsTexas A&M University, College Station, USASeries: Chapman & Hall/CRC Applied Mathematics & Nonlinear Science

An ideal self-study guide for students and practicing engineers, this book highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking. With more than 100 pages of new material, this reorganized and expanded edition incorporates new theoretical results, a new chapter on advanced sequential state estimation, and more examples and exercises. MATLAB® codes are available on the book’s website.


Optical CommunicationsComputational Techniques and Design with MATLAB®

Mark LeesonUniversity of Warwick, UK

Matthew HigginsSeries: Communication Systems Engineering

Growth in traffic driven by Internet-based applications means that bandwidth using optical fibers and free space links will be stretched within the near future. To design the systems of the future, it is necessary to encompass both baseline performance prediction and improvements by correction techniques, such as coding and equalization. This text gathers together key techniques encompassing information theoretic limits and the impact of physical impairments for the first time. These techniques will enable workers in the field to tackle design and optimization problems rapidly and effectively.


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Numerical Methods for Engineers and ScientistsThird EditionJoe D. Hoffman and Steven FrankelPurdue University, West Lafayette, Indiana, USA

Emphasizing the finite difference approach for solving differential equations, this revised and updated edition presents a methodology for systematically constructing individual computer programs and solving complex scientific and engineering problems. All computer code has been updated to reflect Fortran 95/2003. Each chapter includes objectives, applications, and a list of tasks students should be able to complete after reading the chapter—perfect for use as a study guide or for review. A solutions manual and figure slides are available upon qualifying course adoption.


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Numerical Methods for Engineers and Scientists Using MATLAB®

Ramin S. EsfandiariCalifornia State University, Long Beach, USA

This text provides students with a working knowledge of the fundamentals of numerical methods used in various disciplines. MATLAB® is used throughout to perform symbolic, graphical, and numerical tasks. The author methodically covers a wide array of methods ranging from curve fitting a set of data to numerically solving ODEs and PDEs. Each method is accompanied by either a user-defined function or a MATLAB script file. MATLAB built-in functions are also presented for each main topic. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-8569-0 eBook ISBN: 978-1-4665-8959-9 June 2013, 6-1/8 x 9-1/4, 550 pp., Soft Cover Suggested Price: $119.95 / £76.95

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Numerical Methods for Chemical Engineers Using Excel®, VBA, and MATLAB®

Victor J. LawTulane University, New Orleans, Louisiana, USA

Since many practical engineering problems must be solved numerically, this text provides instruction on using numerical methods and Excel®/VBA for chemical and biomolecular engineering problems. It also includes an introduction to MATLAB®. Each chapter contains examples that show in detail how a particular numerical method or programming methodology can be implemented. The book also contains end-of-chapter exercises, with selected solutions. A solutions manual and figure slides are available upon qualifying course adoption.


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Financial MathematicsA Comprehensive TreatmentGiuseppe Campolieti and Roman MakarovWilfrid Laurier University, Waterloo, Ontario, Canada

This text offers a comprehensive, self-contained, and unified treatment of the theory and application of mathematical methods behind modern-day financial mathematics. It introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet student-friendly and engaging style. The text provides in-depth coverage of both discrete- and continuous-time financial models and pricing theory. It also includes numerous examples, exercises, fully worked out solutions, and multiple problem-solving approaches. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-9242-8 February 2014, 7 x 10, 802 pp. Suggested Price: $89.95 / £57.99

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Computational Methods in FinanceAli HirsaCaspian Capital Management, LLC, New York, USASeries: Chapman & Hall/CRC Financial Mathematics

Helping readers accurately price a vast array of derivatives, this self-contained text explains how to solve complex functional equations through numerical methods. It addresses key computational methods in finance, including transform techniques, the finite difference method, and Monte Carlo simulation. Developed from his courses at Columbia University and the Courant Institute of New York University, the author also covers model calibration and optimization and describes techniques for parameter estimation. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-2957-8 eBook ISBN: 978-1-4398-2958-5 September 2012, 7 x 10, 444 pp. Suggested Price: $93.95 / £62.99

Advanced Counterparty Risk Modeling, Valuation and HedgingTomasz R. BieleckiIllinois Institute of Technology, Chicago, USA

Damiano BrigoKing’s College, London, UK

Stéphane CrépeyUniversité d’Evry-Val-d’Essonne, FranceSeries: Chapman & Hall/CRC Financial Mathematics

The importance of the proper assessment and management of counterparty risk became apparent during the recent financial crisis. This book provides a theoretically sound presentation of advanced mathematical modeling methods for the valuation and hedging of counterparty risk. It shows how the methods are applied to manage counterparty risk relative to several important asset classes. The book also addresses the current institutional trends in handling counterparty and systemic risks.


Simple Solutions to Energy CalculationsFifth EditionRichard R. VaillencourtConsultant, Lilburn, Georgia, USA

Completely revised and updated, this fifth edition of a bestseller helps building managers identify what to look for and how to evaluate before making a decision about which guarantee is better for their building and which ESCO can best deliver energy savings. This reference will save readers countless hours doing energy feasibility studies and associated calculations. The author shares his secrets for simplifying complex energy calculations and demonstrates his unique, time-saving methods.


Quantum Optics for BeginnersZbigniew FicekKing Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia

Mohamed Ridza WahiddinInternational Islamic University Malaysia, Kuala Lumpur

This graduate-level text discusses from first principles the background theory of various effects of quantum optics, introduces students to the main ideas of quantum optics as clearly as possible, and teaches the mathematical methods used by researchers working in quantum and atom optics. The book contains numerous valuable derivations and calculations that are often hard to find in scientific articles and other texts on quantum optics. It provides a useful starting point for those interested in learning more.


Power Electronic SystemsWalsh Analysis with MATLAB®

Anish Deb and Suchismita Ghosh

Focusing on Walsh/block pulse domain analysis, this book presents orthogonal Walsh functions for analyzing power electronic systems. It covers two major members of the piecewise constant orthogonal function family: orthogonal Walsh and block pulse functions. These bi-valued functions are compatible to digital processing and by increasing the number of component functions, a continuous-like solution can be obtained. The book shows how the methods are useful for power energetic systems and their optimization.


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Introduction to Stock Portfolio ManagementGatfaoui HayetteRouen School of Management, France

This text explains why modern finance theory should precede mathematics when it comes to money management. It presents key concepts underlying portfolio management theory, followed by examples and applied exercises to enforce understanding of concepts and principles. The author introduces the basic notions of finance, such as markets, uncertainty, and random asset prices, and explains the economic grounds of stock portfolio optimization. The book also covers the asset selection process, efficient portfolios building, Markowitz optimization methodology, and performance assessment tools. Figure slides are available upon qualifying course adoption.


Introduction to Risk Parity and BudgetingThierry RoncalliLyxor Asset Management, Paris, FranceSeries: Chapman & Hall/CRC Financial Mathematics

Written by a well-known expert of asset management and risk parity, this book provides an up-to-date treatment of the risk parity approach, an alternative method to Markowitz optimization. It builds financial exposure to equities and commodities, considers credit risk in the management of bond portfolios, and designs long-term investment policy. The first part of the book gives a theoretical account of portfolio optimization and risk parity. Each chapter in the second part presents an application of risk parity to a specific asset class.


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An Introduction to Exotic Option PricingPeter BuchenUniversity of Sydney, AustraliaSeries: Chapman & Hall/CRC Financial Mathematics

In an easy-to-understand, nontechnical yet mathematically elegant manner, this book shows how to price exotic options, including complex ones, without performing complicated integrations or formally solving PDEs. It develops special pricing techniques based on the no-arbitrage principle and fully derives every price formula for the exotic options. The author incorporates a significant amount of original, previously unpublished material and demystifies many esoteric issues underpinning the mathematical treatment of the subject. A solutions manual is available upon qualifying course adoption.


Introduction to Credit Risk ModelingSecond EditionChristian BluhmMunich, Germany

Ludger OverbeckUniversity of Giessen, Germany

Christoph WagnerMunich, GermanySeries: Chapman & Hall/CRC Financial Mathematics

This second edition presents updates on model developments that have occurred since the publication of the best-selling first edition. It contains a new section on multi-period models and discusses developments in structured credit. Along with many worked-out examples and numerical results, this edition also includes an expanded section on techniques for the generation of loss distributions as well as new topics, such as spectral risk measures, an axiomatic approach to capital allocation, and nonhomogeneous Markov chains.


The Fundamental Rules of Risk ManagementNigel Da Costa Lewis

Requiring no statistical or mathematical background, this work shows how the rules of risk can work to protect and enhance investor value. It explains why “unreason” is the more evil twin brother of greed, describes what leads people to make disastrous investment decisions, and illustrates how high intelligence can trick readers into catastrophic losses. With exercises and references at the end of each chapter, the book also presents notable lessons learned to keep readers’ investments safe.


Financial Modelling with Jump ProcessesPeter TankovUniversité Paris VII, France

Rama ContSeries: Chapman & Hall/CRC Financial Mathematics

Accessible to nonspecialists, this book provides an easy-to-understand overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. With clear explanations, the authors motivate the use of various mathematical tools and give an intuitive understanding of proofs while also providing precise mathematical statements of the results. They illustrate concepts with many numerical and empirical examples and provide the details for implementing pricing and calibration algorithms.


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Quantitative FinanceA Simulation-Based Introduction Using ExcelMatt Davison

Providing readers with more quantitative insight into markets and a better overview of market structures, this book explains how the mathematical objects of finance relate to the business needs of markets. It takes a simulation approach to financial market problems. Each section describes the relevant financial or mathematical theory, an application of the theory in practice, and a spreadsheet to illustrate it. The text also includes a set of exercises ranging from simple to complex. A solutions manual and figure slides are available upon qualifying course adoption.


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Quantitative FinanceAn Object-Oriented Approach in C++Erik SchloglUniversity of Technology, Sydney, AustraliaSeries: Chapman & Hall/CRC Financial Mathematics

This text builds a foundation in the key methods and models of quantitative finance from the perspective of their implementation in C++. It introduces computational finance in a pragmatic manner, focusing on practical implementation. The author takes an object-oriented approach that starts from simple building blocks for assembling more complex and powerful models. Models and algorithms are expressed in the industry-standard C++ language, with working C++ source code available on a CD. Figure slides are available upon qualifying course adoption.


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Quantitative Equity Portfolio ManagementModern Techniques and ApplicationsEdward E. Qian, Ronald H. Hua, and Eric H. SorensenPanAgora Asset Management, Boston, Massachusetts, USASeries: Chapman & Hall/CRC Financial Mathematics

This text reviews quantitative investment strategies and factors that are commonly used in practice. It presents advanced techniques and applications in return forecasting models, risk management, portfolio construction, and portfolio implementation. It includes examples of optimal multi-factor models, contextual and nonlinear models, factor timing techniques, portfolio turnover control, Monte Carlo valuation of firm values, and optimal trading. In many cases, the book frames related problems in mathematical terms and illustrates the mathematical concepts and solutions with numerical and empirical examples.


Practical Lean AccountingA Proven System for Measuring and Managing the Lean Enterprise, Second EditionBrian MaskellBrian Maskell Associates, Inc., Cherry Hill, New Jersey, USA

Bruce BaggaleyLarry GrassoCentral Connecticut State University, New Britain, USA

Enhanced with extensive end-of-chapter exercises and a CD with Lean accounting tools, the second edition of this preeminent practitioner’s guide is now suitable for classroom use. This edition explains what it takes to transform a traditional accounting system to one that supports and enhances a company’s Lean efforts. Defining the fundamental principles of Lean accounting, it demonstrates how to use them to identify and eliminate wasteful transactions.

Print ISBN: 978-1-4398-1716-2 eBook ISBN: 978-1-4665-0622-0 August 2011, 7 x 10, 475 pp., Soft Cover Suggested Price: $65.95 / £42.99

Nonlinear Option PricingJulien Guyon and Pierre Henry-LabordéreSeries: Chapman & Hall/CRC Financial Mathematics

Collecting many methods that have previously been scattered in the literature, this book presents advanced techniques for solving high-dimensional nonlinear problems. Designed for practitioners, it is one of the first books to discuss nonlinear Black-Scholes PDEs. The authors explain regression and dual methods for American and chooser options, the Monte Carlo approach for pricing the uncertain volatility model and the uncertain lapse and mortality model, the particle method to calibrate local stochastic volatility models and local correlation models to market smiles, and stochastic representations based on marked branching diffusions.


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Monte Carlo Simulation with Applications to FinanceHui WangBrown University, Providence, Rhode Island, USASeries: Chapman & Hall/CRC Financial Mathematics

This text provides a self-contained introduction to Monte Carlo methods in financial engineering. It covers common variance reduction techniques, the cross-entropy method, and the simulation of diffusion process models. Requiring minimal background in mathematics and finance, the book includes numerous examples of option pricing, risk analysis, and sensitivity analysis as well as many hand-and-paper and MATLAB® coding exercises at the end of every chapter. Figure slides are available upon qualifying course adoption.


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DiffusionFormalism and ApplicationsSushanta DattaguptaIndian Institute of Science Education & Research, West Bengal

Within a unifying framework, this book covers both classical and quantum domains, along with numerous applications. The author explores the more than two centuries-old history of diffusion, expertly weaving together a variety of topics from physics, mathematics, chemistry, and biology. He describes the role of diffusion in probability theory and stochastic calculus and discusses topics in materials science and metallurgy. He also addresses the impact of translational/rotational diffusion on experimental data, covers reaction-diffusion equations in biology, and examines diffusion in the quantum domain.


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A Course in Mathematical Methods for PhysicistsRussell L. HermanUniversity of North Carolina, Wilmington, USA

Based on the author’s junior-level undergraduate course, this classroom-tested textbook is designed for an introductory course in mathematical physics. Focusing on the physics of oscillations and waves, it helps students understand the mathematical techniques needed for their future studies in physics. The book introduces the methods while studying one underlying theme from physics. It takes a bottom-up approach that emphasizes physical applications of the mathematics. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-8467-9 November 2013, 8-1/2 x 11, 784 pp., Soft Cover Suggested Price: $89.95 / £44.99

Beyond QuantumEdited by

Andrei KhrennikovLinnaeus University, Sweden

The present wave of interest in quantum foundations is caused by the tremendous development of quantum information science and its applications to quantum computing and quantum communication. Some of the difficulties encountered in realizations of quantum information processing have roots at the very fundamental level. To solve such problems, quantum theory has to be reconsidered. This book is devoted to the analysis of the probabilistic structure of quantum theory, probing the limits of classical probabilistic representation of quantum phenomena.


Applied Bohmian MechanicsFrom Nanoscale Systems to CosmologyEdited by

Xavier Oriols Pladevall and Jordi MompartUniversitat Autònoma de Barcelona, Bellaterra, Spain

Bohmian mechanics—the formulation of the quantum theory pioneered by Louis de Broglie and David Bohm—offers an alternative mathematical formulation of quantum phenomena in terms of quantum trajectories. This book demonstrates the huge practical utility of another of Bohmian mechanics in explaining quantum phenomena in various research fields. It sheds light on the limits and extensions of our understanding of quantum mechanics toward other paradigms, such as relativity and cosmology.


Technical Analysis of Stock TrendsTenth EditionRobert D. EdwardsJohn MageeConsultant, Chicago, Illinois, USA

W.H.C. BassettiGolden Gate University, San Francisco, USA

This book provides long- and short-term stock trend analysis, enabling investors to make smart trading decisions. It presents reversal patterns, consolidation formations, trends and channels, technical analysis of commodity charts, and advances in investment technology. It covers stock selection, charting, trend recognition tools, balancing and diversifying a stock portfolio, application of capital, and risk management. This edition offers more illustrative patterns and charts, including modifiable online charts, expanded material on pragmatic portfolio, and a simpler and more powerful alternative to Dow Theory.


Risk Management and SimulationAparna GuptaRensselaer Polytechnic Institute, Troy, New York, USA

The challenges of the financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. This book shows how simulation modeling and analysis can help solve problems of risk management related to market, credit, operational, business, and strategic risk. Making simulation accessible, the author walks readers through the concepts, models, and computational techniques.


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The Mathematics CompanionMathematical Methods for Physicists and Engineers, Second EditionA. C. Fischer-CrippsFischer-Cripps Laboratories Pty Ltd, Sydney, Australia

Following the style of the author’s other companions, The Mathematics Companion is a revision aid and study guide for undergraduate students in physics and engineering. It consists of a series of one-page-per-topic descriptions of the key concepts covered in a typical first-year “mathematics for physics” course. Emphasis is placed on relating the mathematical principles to real-life physical problems. In common with the other companions, the book uses figures throughout to help students understand the concepts. Figure slides are available upon qualifying course adoption.


Mathematical OpticsClassical, Quantum, and Computational MethodsEdited by

Vasudevan LakshminarayananUniversity of Waterloo, Ontario, Canada

María L. Calvo and Tatiana AlievaUniversidad Complutense, Madrid, Spain

Going beyond standard introductory texts, this well-illustrated book brings together many new mathematical techniques from optical science and engineering research at a level accessible to students and newcomers to the field. The text presents the mathematical formalisms used in wave optics, explores current research and technological advances in plasmonics, and describes the powerful methods of group theory and modern quantum optics. With many examples and exercises, it also covers super-resolution imaging and differential geometric methods in image processing.


A Level of Martin-Lof RandomnessBradley S. TiceAdvanced Human Design, Cupertino, California, USA

This work addresses the notion of compression ratios greater than what has been known for random sequential strings in binary and larger radix-based systems as applied to those traditionally found in Kolmogorov complexity. A culmination of the author’s decade-long research that began with his discovery of a compressible random sequential string, the book maintains a theoretical-statistical level of introduction suitable for mathematical physicists. It discusses the application of ternary-, quaternary-, and quinary-based systems in statistical communication theory, computing, and physics.


An Introduction to Beam PhysicsMartin Berz and Kyoko MakinoMichigan State University, East Lansing, USA

Weishi WanLawrence Berkeley National Laboratory, California, USASeries: High Energy Physics, Cosmology and Gravitation

This book discusses the computation of transfer maps for all kinds of particle accelerators or any weakly nonlinear dynamical system, such as planetary orbits. The book is suitable for graduate students and researchers in applied mathematics, beam physics (accelerator physics, particle optics, and geometric light optics), astronomy, and electrical engineering. Topics covered include transfer matrices, mechanics and electrodynamics, nonlinear motion, differential algebra, the structure of the classes, computer implementations, nonlinear maps, one pass systems, and repetitive systems.


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Group Theory for High Energy PhysicistsMohammad SaleemPunjab University, Pakistan

Muhammad Rafique

Showing how to use group theory to solve high energy physics problems, this text presents groups, especially Lie groups, and their characteristics in a way that is easily comprehensible to physicists. The book illustrates the importance of group representations to accommodate elementary particles with specific characteristics. With numerous worked examples and problems, it also discusses the role of continuous groups in advancing our understanding of particles and their interactions. A solutions manual and figures slides are available upon qualifying course adoption.


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Elements of Quantum Computation and Quantum CommunicationAnirban Pathak

While there are many available textbooks on quantum information theory, most are either too technical for beginners or not complete enough. Filling the gap, this clear, self-contained introduction explores recent developments and open questions in the field, prepares readers for further study, and helps them understand more advanced texts and journal papers. Along with thought-provoking cartoons and brief biographies of key players in the field, each chapter includes examples, references, exercises, and problems with detailed solutions. A solutions manual and figure slides are available upon qualifying course adoption.


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Designing Scientific Applications on GPUsEdited by

Raphael CouturierUniversity of Franche-Comte, Belfort, FranceSeries: Chapman & Hall/CRC Numerical Analysis and Scientific Computing

General purpose graphics processing units (GPGPUs) enable researchers in a variety of fields to benefit from the computational power of all the cores available inside graphics cards. This book shows how to use GPUs for applications in diverse scientific fields, from physics and mathematics to computer science. The book explains the methods necessary for designing or porting scientific applications on GPUs and will improve readers’ knowledge about image processing, numerical applications, methodology to design efficient applications, optimization methods, and much more.


Coupled SystemsTheory, Models, and Applications in EngineeringJuergen GeiserErnst-Moritz-Arndt University of Greifswald, GermanySeries: Chapman & Hall/CRC Numerical Analysis and Scientific Computing

This book describes the theoretical and practical aspects of solving complicated and coupled models in engineering with analytical and numerical methods. It covers analytical and numerical methods in time and space for evolution equations that arise from engineering problems and their applications. The book covers separate, multiple, and logical scales. MATLAB® code for implementation is included.


CoArraysParallel Programming in FortranRobert W. NumrichMinnesota Supercomputing Institute, Minneapolis, USA

John Ker ReidRutherford Appleton Laboratory, Oxfordshire, UKSeries: Chapman & Hall/CRC Computational Science

This book describes the coarray parallel programming model that will be part of the next standard version of the Fortran language. It provides a practical guide for Fortran programmers who want to start writing parallel applications using coarrays as soon as the compilers become commercially available. The authors present the technical specification of the coarray model in enough detail for programmers to write standard-conforming code. They also present numerous examples of parallel algorithms written in the coarray model, include exercises with solutions, and offer Fortran code samples for download.


Cloud ComputingData-Intensive Computing and SchedulingFrédéric MagoulèsÉcole Centrale Paris, Châtenay Malabry, France

Jie PanKlee Group, France

Fei TengSouthwest Jiaotong University, ChinaSeries: Chapman & Hall/CRC Numerical Analysis and Scientific Computing

This book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications. Addressing performance issues, it explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The text covers scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It explains approaches to data analytical query processing. Applications of MapReduce, a new parallel programming model, are also presented.


Quantum Information and ComputationV. RavishankarIndian Institute of Technology, Kanpur

This interdisciplinary book brings together quantum information concepts from quantum physics, information theory, and computer science. It distinguishes between classical and quantum physics, introduces density operators, and discusses linearity and nonlocality of quantum mechanics. The book presents the classical Church-Turing hypothesis and a detailed discussion of entanglement. It also covers many applications involving teleportation and superdense coding, Grover’s and Shor’s algorithms, and quantum error correction codes. In addition, it looks at the roles of NMR and quantum dots in a future quantum computer.


Nonlinear Physics of EcosystemsEhud MeronBen-Gurion University, Sede Boqer, Israel

Providing an integrative treatment of nonlinear physics and applications in ecology, this text introduces the basic concepts, tools, and applications to important problems in ecology. It exposes readers to the new emerging research field that integrates pattern formation and spatial ecology. The book supplies a detailed overview of pattern formation theory as applied to spatial aspects of landscape, community, and ecosystem ecology. The author also covers state-of-the-art applications in ecology research, from modeling water-limited plant communities to studies in biodiversity, resource patterns, and ecosystem engineering.


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Introduction to Numerical Analysis and Scientific ComputingNabil Nassif and Dolly Khuwayri FayyadAmerican University of Beirut, Lebanon

Designed for a one-semester course, this classroom-tested text presents fundamental concepts of numerical mathematics and explains how to implement and program numerical methods. Drawing on their years of teaching students in mathematics, engineering, and the sciences, the authors cover floating-point number representations, nonlinear equations, linear algebra concepts, the Lagrange interpolation theorem, numerical differentiation and integration, and ODEs. They also focus on the implementation of the algorithms using MATLAB®. A solutions manual and figure slides are available upon qualifying course adoption.


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Introduction to Numerical Analysis and OptimizationSergiy ButenkoTexas A&M University, College Station, USA

Panos M. PardalosUniversity of Florida, Gainesville, USASeries: Chapman & Hall/CRC Numerical Analysis and Scientific Computing

Based on the authors’ introductory numerical methods and optimization courses, this book covers numerical methods for industrial and systems engineering and operations research. It combines introductory numerical methods and introductory optimization into a single text. This approach enriches a standard numerical methods syllabus with optional chapters on numerical optimization and provides a valuable numerical methods background for students taking an introductory optimization course. A solutions manual and figure slides are available upon qualifying course adoption.


Introduction to High Performance Computing for Scientists and EngineersGeorg Hager and Gerhard WelleinUniversity of Erlangen Nuremberg, GermanySeries: Chapman & Hall/CRC Computational Science

This book provides a solid introduction to mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. It facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. The authors highlight the importance of performance modeling of applications on all levels of a system’s architecture and include numerous case studies drawn from their experiences in HPC user support, performance optimization, and benchmarking. Downloadable code and an annotated bibliography are available online.

Print ISBN: 978-1-4398-1192-4 eBook ISBN: 978-1-4398-1193-1 July 2010, 6-1/8 x 9-1/4, 356 pp., Soft Cover Suggested Price: $75.95 / £46.99

The Green Computing BookTackling Energy Efficiency at Large ScaleEdited by

Wu-chun FengVirginia Polytechnic Institute and State University, Blacksburg, USASeries: Chapman & Hall/CRC Computational Science

Driven by the newly placed importance and growing search for ways to make computing greener and more efficient, this reference is the first research-level book devoted to green computing and large-scale energy efficiency. Leading experts in the field present current research and developments in hardware, systems software, run-time systems, programming languages, data center management, and applications. They also cover the emerging green movement in computing, including the Green Grid and the Green 500 list, as well as important programs in grassroots organizations and government agencies.


Essentials of Cloud ComputingK. Chandra SekaranNITK Surathkal, India

This work explains the evolution of the Internet and web-based applications to cloud computing using a service-oriented approach. It discusses how emerging paradigms and technologies will change the way newer applications will be architected for cloud deployment. It also covers the technological features of cloud computing, including hardware, software, and networking, which together support the cloud’s infrastructure, platform, and software services. The book includes case studies, programming examples, industry-based examples, and hands-on tools and development environments.


Desktop Grid ComputingEdited by

Christophe CerinUniversité Paris XIII, Villetaneuse, France

Gilles FedakINRIA, University of Lyon, FranceSeries: Chapman & Hall/CRC Numerical Analysis and Scientific Computing

This book presents common techniques used in numerous models, algorithms, and tools developed during the last decade to implement desktop grid computing. These techniques enable the solution of many important sub-problems for middleware design, including scheduling, data management, security, load balancing, result certification, and fault tolerance. Each chapter presents the sub-problems, discusses theoretical and practical issues, offers details about implementation and experiments, and includes references to further reading and notes.


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Parallel Mesh GenerationTheory and PracticeNikos Chrisochoides and Andrey ChernikovThe College of William and Mary, Williamsburg, Virginia, USASeries: Chapman & Hall/CRC Computational Science

Breaking new ground in parallel mesh generation research, this text presents both the theoretical foundations and practical aspects related to the implementation of the methods used on current and emerging architectures within this field. Never before has any other book attempted to exclusively cover this important topic. With over 20 years of experience in parallel computing and mesh generation, the expert authors include information on new applications, including the use of parallel mesh generation in computer-aided surgery.


Numerical Methods for Equations and its ApplicationsIoannis K. ArgyrosCameron University, Lawton, Oklahoma, USA

Yeol J. ChoGyeongsang National University, Chinju, South Korea

Saïd HiloutPoitiers University, Futuroscope Chasseneuil, France

This book introduces advanced numerical-functional analysis to beginning computer science researchers. Readers should have had basic courses in numerical analysis, computer programming, computational linear algebra, and an introduction to real, complex, and functional analysis. Each chapter contains several new theoretical results and important applications in engineering, dynamic economics systems, input-output system, the solution of nonlinear and linear differential equations, and optimization problems.


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Numerical and Analytical Methods with MATLAB® for Electrical EngineersWilliam BoberFlorida Atlantic University, Boca Raton, USA

Andrew StevensElectrical Science, Inc., Rye Brook, New York, USASeries: Computational Mechanics and Applied Analysis

This text presents basic programming techniques using MATLAB® and discusses numerical and analytical concepts applicable to electrical engineering. Many sample MATLAB programs provide guidance for student completing the assigned projects. Case studies also relate concepts to engineering in practice. The book addresses Simulink, curve fitting, optimization, partial differential equations, Laplace transforms, control systems, signal processing, differential equations, transcendental equations, and numerical integration. A solutions manual and figure slides are available upon qualifying course adoption.


Introduction to Reversible ComputingKalyan S. PerumallaOak Ridge National Laboratory, Knoxville, Tennessee, USASeries: Chapman & Hall/CRC Computational Science

Collecting scattered knowledge into one coherent account, this book provides a compendium of both classical and recently developed results on reversible computing. It offers an expanded view of the field that includes the traditional energy-motivated hardware viewpoint as well as the emerging application-motivated software approach. It explores up-and-coming theories, techniques, and tools for the application of reversible computing. The topics covered span several areas of computer science, including high-performance computing, parallel/distributed systems, computational theory, compilers, power-aware computing, and supercomputing.


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An Introduction to Numerical MethodsA MATLAB® Approach, Third EditionAbdelwahab KharabAbu Dhabi University, United Arab Emirates

Ronald B. GuentherOregon State University, Corvallis, USA

This popular text continues to present a wide range of useful and important algorithms for scientific and engineering applications. Along with MATLAB® GUIs throughout, this third edition incorporates a new chapter on the numerical solution of integral equations and a new section on nonlinear PDEs. The authors use MATLAB to illustrate each numerical method, providing full details of the computer results and supplying the MATLAB functions on a CD. A solutions manual and figure slides are available upon qualifying course adoption.


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Introduction to Numerical and Analytical Methods with MATLAB® for Engineers and ScientistsWilliam BoberFlorida Atlantic University, Boca Raton, USA

This text teaches students how to write computer programs on the MATLAB® platform and how to use many of MATLAB’s built-in functions to solve engineering-type problems. Students often view these functions as black boxes. By combining MATLAB with basic numerical and analytical analysis, the mystery of what the black boxes contain is somewhat alleviated. Along with exercises in each chapter, the text includes many examples from mechanical, civil, aeronautical, and electrical engineering. A solutions manual and figure slides are available upon qualifying course adoption.


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Applying AnalyticsA Practical IntroductionEvan S. LevineAnalytics Professional, New York, New York, USA

Covering the technical and professional skills needed by analysts in the academic, private, and public sectors, this text systematically teaches novices how to apply algorithms to real data and how to recognize potential pitfalls. It concentrates on the interpretation, strengths, and weaknesses of analytical techniques, along with challenges encountered by analysts in their daily work. Example data sets used in the text are available for download online so that readers can test their own analytic routines.


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Analysis of QueuesMethods and ApplicationsNatarajan GautamTexas A&M University, College Station, USASeries: Operations Research

Analysis of queues is used in a variety of domains, including call centers, web servers, Internet routers, manufacturing and production, telecommunications, transportation, hospitals and clinics, restaurants, and theme parks. Combining elements of classical queueing theory with recent advances in studying stochastic networks, this book contains numerous real-world examples and industrial applications. It is suitable for graduate students, researchers, consultants, and analysts in performance modeling or analysis. A solutions manual and figure slides are available upon qualifying course adoption.


XML in Scientific ComputingC. PozrikidisUniversity of Massachusetts, Amherst, USASeries: Chapman & Hall/CRC Numerical Analysis and Scientific Computing

This book introduces XML to scientists and engineers in a way that illustrates the similarities and differences with traditional programming languages and suggests new ways of saving and sharing the results of scientific calculations. The author discusses XML in the context of scientific computing, demonstrates how XSL can be used to perform various calculations, and explains how to create and navigate through XML documents using traditional languages, such as Fortran, C++, and MATLAB®. A suite of computer programs are available on the author’s website.


Using R for Numerical Analysis in Science and EngineeringVictor A. BloomfieldUniversity of Minnesota, Minneapolis, USASeries: Chapman & Hall/CRC The R Series

This book shows how the free and open-source R environment can be used as a powerful and comprehensive platform for the kinds of numerical analysis that are traditionally employed by MATLAB®. With R code fully integrated, the book offers brief descriptions of basic approaches and emphasizes detailed worked examples. It covers functions in the base installation of R as well as those in contributed packages, which greatly enhance the numerical analysis capabilities of R.


The TOP500History, Trendsand Future Directions in High Performance ComputingHans Werner Meuer, Erich Strohmaier, Jack Dongarra, and Horst D. SimonSeries: Chapman & Hall/CRC Computational Science

This book provides the first comprehensive overview of the history over the past two decades, current trends, and future directions of the TOP500 list in particular and of high performance computing in general. The authors reflect on trends in computer architecture, parallelism, processor technology, interconnect technology, and operating systems that have shaped the field.


Parallel Science and Engineering ApplicationsThe Charm++ ApproachEdited by

Laxmikant V. Kale and Abhinav BhateleUniversity of Illinois, Urbana-Champaign, USASeries: Computational Physics

This volume highlights the use of Charm++ in a wide variety of scientific and engineering fields. It emphasizes the adaptivity, asynchrony, and message-driven execution and proposes design choices for application development. With illustrative examples throughout, the text describes associated tools, parallelization strategies, and parallel performance. It also explains the requirements for writing any computational science and engineering application, including those related to molecular dynamics, quantum chemistry, cosmological simulations and visualizations, and weather simulations.


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Iterative Optimization in Inverse ProblemsCharles L. ByrneUniversity of Massachusetts, Lowell, USASeries: Monographs and Research Notes in Mathematics

This book covers iterative optimization methods stemming from inverse problems and related issues. The author presents the theoretical side of inverse methods and includes problems throughout the text. The coverage moves from an introduction of auxiliary function methods to a discussion of several examples of auxiliary fixed-point methods in optimization. The book also considers related topics, such as operator fixed-point methods.


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Introduction to Linear Optimization and Extensions with MATLAB®

Roy H. KwonUniversity of Toronto, Ontario, CanadaSeries: Operations Research

This book fills the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty. It includes two major ways of including parameter uncertainty: stochastic linear programming and robust linear optimization. The author offers a rigorous development of linear programming theory and methods. The text contains financial optimization case studies, an extensive bibliography, and MATLAB® exercises, with the code available on the book’s CRC Press web page. A solutions manual and figure slides are available upon qualifying course adoption.


Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth OptimizationQamrul Hasan AnsariAligarh Muslim University, India

C.S. LalithaUniversity of Delhi South Campus, India

Monika MehtaSatyawati College, University of Delhi, India

Until now, no book addressed convexity, monotonicity, and variational inequalities together. This book covers all three topics, including new variational inequality problems defined by a bifunction. It deepens readers’ understanding of various classes of problems, such as systems of nonlinear equations, optimization problems, complementarity problems, and fixed-point problems. The first part of the book focuses on generalized convexity and generalized monotonicity. The second part offers insight into variational inequalities and optimization problems in smooth as well as nonsmooth settings.


Fuzzy Multiple Objective Decision MakingGwo-Hshiung TzengKainan University, Taoyuan, Taiwan

Jih-Jeng HuangSooChow University, Taipei, Taiwan

Focusing on the methodologies and applications of the field, this book presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of MODM. The authors describe multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover network data envelopment analysis. The second part focuses on various applications, giving readers a practical, in-depth understanding of MODM.


Decision Making in Service IndustriesA Practical ApproachEdited by

Javier Faulin, Angel A. Juan, Scott E. Grasman, and Michael J. Fry

This book provides insight on issues related to decision-making processes under uncertain conditions in the service industries. It integrates decision-making tools with real-world examples that present worldwide best practices as well as theoretical and applied strategies, such as the use of hybrid and stochastic algorithms. It discusses emerging tendencies regarding decision-support systems and information systems to support decision-making in real scenarios. The book also includes research on how probabilistic algorithms and simulation-based approaches are changing experiences and practices in service management.


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Business Process Modeling, Simulation and DesignSecond EditionManuel LagunaUniversity of Colorado, Boulder, USA

Johan MarklundLund University, Sweden

This text provides students with a thorough understanding of numerous analytical tools that can be used to model, analyze, design, manage, and improve business processes. It presents the tools to design effective business processes and the management techniques to operate them efficiently. This edition includes an introduction to simulation, a new chapter on business process analytics, and three completely revised chapters that incorporate ExtendSim 8. A solutions manual and figure slides are available upon qualifying course adoption.


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Applied Stochastic ProcessesMing LiaoAuburn University, Alabama, USA

A concise, graduate-level treatment, this text emphasizes applications and practical computation and establishes the complete mathematical theory in an accessible way. It covers Poisson processes, renewal processes, discrete- and continuous-time Markov chains, and Brownian motion. It also offers an introduction to stochastic differential equations. While the main applications described are queues, the book also considers other examples, such as the mathematical model of a single stock market. A solutions manual and figure slides are available upon qualifying course adoption.


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Value-Added Decision Making for ManagersKenneth ChelstWayne State University, Detroit, Michigan, USA

Yavuz Burak CanbolatAbbott Laboratories, Abbott Park, Illinois, USA

Developed from the authors’ longstanding course on decision and risk analysis, this text explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of the best alternatives and numerous examples highlight real-world situations from everyday life, public policy, and industry. Software tutorials and other material are available on the book’s website. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4200-7572-4 eBook ISBN: 978-1-4200-7576-2 October 2011, 7 x 10, 578 pp.


Reliability and MaintenanceNetworks and SystemsFrank BeicheltUniversity of Witwatersrand, Johannesburg, South Africa

Peter TittmannUniversity of Applied Sciences Mittweida, Germany

This work gives an up-to-date presentation of system and network reliability analysis as well as maintenance planning with a focus on applicable models. It presents state-of-the-art research in key areas of reliability and maintenance theory and includes numerous examples and exercises. The book focuses on three key interconnected aspects of reliability theory: binary systems, network reliability, and maintenance models. Every chapter starts with theoretical foundations and basic models and leads to more sophisticated models and ongoing research.


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Probability Foundations for EngineersJoel A. NachlasVirginia Polytechnic Institute and State University, Blacksburg, USA

Suitable for a first course in probability theory, this textbook covers theory in an accessible manner and includes numerous practical examples based on engineering applications. An important aspect of the text is the fact that examples are not presented in terms of “balls in urns.” Many examples relate to gambling with coins, dice, and cards but most are based on observable physical phenomena familiar to engineering students. A solutions manual and figure slides are available upon qualifying course adoption.


Optimization with Maple for Engineers and ScientistsJanos D. PinterOzyegin University, Istanbul, Turkey

Written by one of the main developers of the Global Optimization Maple™ Toolbox, this book uses the Maple 13 computing system as an advanced multipurpose modeling and optimization environment. It reviews the necessary components of Maple that serve as the basic building blocks of optimization models and discusses how to develop various models with Maple. A large number of numerical examples and case studies highlight the use of Maple in various application situations.


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Linear Programming with DualsA Modern ExpositionCraig A. ToveyGeorgia Institute of Technology, Atlanta, USA

This textbook presents a theoretical treatment of linear programming, network flows and applications, integer programming, and computational complexity. The author includes a rigorous discussion of theory, numerous examples and exercises, and geometric intuitive explanations. He also offers computational tips and interpretation of software input. Unlike other books, this text incorporates duality throughout its chapters, rather than treating it as an add-on topic. A solutions manual and figure slides are available upon qualifying course adoption.


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Classification of Lipschitz MappingsŁukasz PiaseckiUniwersytet Marii Curie-Skłodowskiej, Lublin, PolandSeries: Chapman & Hall/CRC Pure and Applied Mathematics

This self-contained work presents a more precise classification of Lipschitz mappings and highlights their usefulness in metric fixed-point theory. The Lipschitz condition is significant in many branches of mathematics, including differential equations and dynamical systems. Requiring only basic knowledge of functional analysis and topology, the book provides numerous illustrations and a rich collection of examples and open problems. It takes a modern approach to proving theorems through computational experiments and graphs.


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A Basic Course in Real AnalysisAjit KumarInstitute of Chemical Technology, Mumbai, India

S. KumaresanUniversity of Hyderabad, India

Based on the authors’ more than 50 years of experience teaching, this book initiates students to the aspects of real analysis in a friendly way. The authors offer insights into the way a typical mathematician works: observing patterns, conducting experiments by means of looking at or creating examples, understanding underlying principles, coming up with guesses or conjectures, and proving them rigorously. A solutions manual and figure slides are available upon qualifying course adoption.


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Probability and Stochastic ModelingVladimir I. RotarSan Diego State University, California, USA

With numerous examples, exercises, and models using real-world data, this book not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability texts, the book also focuses on increasingly important areas, such as martingales, classification of dependency structures, and risk evaluation. A solutions manual and figure slides are available with qualifying course adoption.


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Introduction to Stochastic Calculus with ApplicationsGregory F. LawlerUniversity of Chicago, Illinois, USA

This text balances accessibility and rigor in teaching stochastic calculus to advanced undergraduate and graduate students in mathematics, economics, and finance. Avoiding the measure-theoretic formalism, the author presents the material in a natural order and keeps technical ideas to a minimum. Any technical material is covered in sections that are separate from the main text. Students are encouraged to write computer programs using C++, MATLAB®, or Mathematica®. Figure slides are available upon qualifying course adoption.


Handbook of Differential EntropyJoseph Victor Michalowicz, Jonathan M. Nichols, and Frank Bucholtz

Unlike related books, this handbook brings together background material, derivations, and applications of differential entropy. The book first reviews probability theory as it enables an understanding of the core building block of entropy. The authors then carefully explain both discrete and differential entropy. They present detailed derivations of differential entropy for numerous probability models, discuss challenges with interpreting and deriving differential entropy, and show how differential entropy varies as a function of the model variance. They also explore the application of differential entropy in several areas.


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The Dynamics of Discrete Populations and Series of EventsKeith Iain Hopcraft and Eric JakemanUniversity of Nottingham, UK

Kevin D. RidleyConsultant Optical Physicist, UKSeries: Graduate Student Series in Physics

Describing the characteristics of data generated by many complex systems requires models that go beyond what are featured in existing texts. This text shows students how analytical tools are used to develop and solve discrete stochastic models. It also explains how to simulate the models computationally and generate data to compare measurements. Each chapter includes problem sets and a bibliography. A solutions manual and figure slides are available upon qualifying course adoption.


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Introduction to AnalysisSteven G. KrantzWashington University, St. Louis, Missouri, USA

Most related textbooks transition students from the mathematics of calculations to the concept of proofs through intuition. This introduction minimizes the amount of intuition built into the subject. Suitable for a one-semester undergraduate course, the text also addresses the central question of determining the certainty provided by pure mathematics. The book includes “check your understanding” sections and many examples. A solutions manual, instructor’s manual, and figure slides are available upon qualifying course adoption.


Improper Riemann IntegralsIoannis RoussosHamline University, Saint Paul, Minnesota, USA

This graduate-level book helps readers understand the improper or generalized Riemann integral, its convergence, and its application. The book demonstrates the usefulness of advanced mathematical tools and the Riemann integral. Requiring experience with calculus and real analysis, it explains the concepts involved by presenting sufficient theory and a number of pertinent theorems. Unlike related texts, this one examines the relatively unknown Frullani integral in various ways.


Higher Order DerivativesSatya MukhopadhyayUniversity Teachers Co-op, Burdwan, IndiaSeries: Monographs and Surveys in Pure and Applied Mathematics

Since higher order derivatives are useful in many places, nth order derivatives are often defined directly. These derivatives are more general than the ordinary derivative and are useful in many purposes. This book discusses higher order derivatives and the relations among them. It covers higher order generalized derivatives, including Peano, d.l.V.P., symmetric and unsymmetric Riemann, symmetric and unsymmetric Cesàro, symmetric and unsymmetric Borel, symmetric and unsymmetric LP, symmetric and unsymmetric Laplace, and Abel derivatives.


A Functional Analysis Framework for Modeling, Estimation and Control in Science and EngineeringH.T. BanksNorth Carolina State University, Raleigh, USA

This work presents functional analysis as a tool for understanding and treating distributed parameter systems. Drawing on his extensive research and teaching from the past 20 years, the author explains how functional analysis can be the basis of modern PDE and DDE techniques. He covers many recent applications of functional analysis in HIV models, noncooperative games, structured population models, electromagnetic materials, delay systems, and control and inverse problems. He also addresses computational aspects of select problems/applications.


Fixed Point Theory, Variational Analysis, and OptimizationEdited by

Saleh Abdullah R. Al-MezelFalleh Rajallah M. Al-SolamyUniversity of Tabuk, Saudia Arabia

Qamrul Hasan AnsariAligarh Muslim University, India

This book provides the basic theory of directional derivatives and monotonicity required for the understanding of the theory of variational inequality problems. In three parts, it covers fixed point theory, variational inequalities, and vector optimization. People working in nonlinear analysis, optimization theory, variational inequalities, and mathematical economics would benefit from this book. It can also be used as a textbook for postgraduate students involved in nonlinear analysis and optimization.


The Divergence Theorem and Sets of Finite PerimeterWashek F. PfefferUniversity of California, Davis, USASeries: Chapman & Hall/CRC Pure and Applied Mathematics

This book presents a detailed development of the divergence theorem. The framework is that of Lebesgue integration—no generalized Riemann integrals of Henstock–Kurzweil variety are involved. The first part of the book establishes the divergence theorem by a combinatorial argument involving dyadic cubes. Only elementary properties of the Lebesgue integral and Hausdorff measures are used. The second part introduces the sets of finite perimeter and the last part proves the general divergence theorem for bounded vector fields.


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Crafting ConundrumsPuzzles and Patterns for the Bead Crochet ArtistEllie BakerSusan GoldstineSt. Mary’s College of Maryland, St. Mary’s City, USA

This book is for crafters, puzzle lovers, and pattern designers alike. Experienced bead crochet crafters looking for a project may well choose to skip ahead to the patterns and begin crocheting using the book’s abundance of unique, mathematically inspired designs. Those wishing to go beyond following others’ patterns to designing their own will find many useful tools, template patterns, and a new methodology for understanding how to do so, even without needing any math.

Print ISBN: 978-1-4665-8848-6 March 2014, 7 x 10 Suggested Price: $39.95 / £25.99

ComputingA Historical and Technical PerspectiveYoshihide Igarashi, Tom Altman, Mariko Funada, and Barbara Kamiyama

This book explores the historical and technical foundations of computing. It starts with the earliest references to counting, the introduction of various number systems, and mathematics during early civilization. The book guides readers all the way to the latest advances in computer science, such as computer networks, public-key cryptography, and quantum computing. Each chapter is self-contained, requires no prior knowledge, and includes citations to website links and other references. Technical material is also provided for more advanced readers.

Print ISBN: 978-1-4822-2741-3 May 2014, 6-1/8 x 9-1/4, 200 pp., Soft Cover Suggested Price: $59.95 / £38.99

Basic Gambling MathematicsThe Numbers behind the NeonMark Bollman

This book presents the elementary mathematics involved in gambling. It develops the necessary mathematics of permutations, combinations, and expectation and then uses the mathematics to examine various games of chance. The book covers both game situations and wagering decisions. With exercises included, the text can be used in an elementary probability course. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-0893-1 May 2014, 6 x 9, 250 pp., Soft Cover Suggested Price: $59.95 / £38.99

3D Math Primer for Graphics and Game DevelopmentSecond EditionFletcher DunnValve Software

Ian ParberryUniversity of North Texas, Denton, USA

This engaging book presents the essential mathematics needed to describe, simulate, and render a 3D world. Reflecting both academic and in-the-trenches practical experience, the authors teach how to describe objects and their positions, orientations, and trajectories in 3D using mathematics. The text provides an introduction to mathematics for game designers, including the fundamentals of coordinate spaces, vectors, and matrices. It also covers orientation in three dimensions, calculus and dynamics, graphics, and parametric curves.

Print ISBN: 978-1-56881-723-1 eBook ISBN: 978-1-4398-6981-9 November 2011, 7.5 x 9.25, 846 pp. Suggested Price: $73.95 / £46.99

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Real Analysis and FoundationsThird EditionSteven G. KrantzWashington University, St. Louis, Missouri, USASeries: Textbooks in Mathematics

This best-selling book bridges the gap between classic theoretical texts and less rigorous ones, providing a smooth transition from logic and proofs to real analysis. This edition moves elementary number systems and set theory and logic to appendices and removes the material on wavelet theory, measure theory, differential forms, and the method of characteristics. It also adds a chapter on normed linear spaces and includes more examples and varying levels of exercises. A solutions manual and figure slides are available upon qualifying course adoption.


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Measure and IntegralAn Introduction to Real AnalysisRichard L. WheedenRutgers University, Piscataway, New Jersey

Antoni ZygmundUniversity of Chicago, Illinois, USASeries: Chapman & Hall/CRC Pure and Applied Mathematics

This volume develops the classical theory of the Lebesgue integral and some of its applications. Following a thorough study of outer measure and measure, the authors present the integral in the context of n-dimensional Euclidean space and then give a more general treatment based on an axiomatic approach. The book examines closely related topics in real variables, such as functions of bounded variation, the Riemann-Stieltjes integral, Fubini’s theorem, L(p) classes, and various results about differentiation. It also discusses several applications of the theory to harmonic analysis.


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Ornamental OrigamiExploring 3D Geometric DesignsMeenakshi Mukerji

A great resource for people who enjoy polyhedra, symmetry, geometry, mathematics, and origami, this book presents step-by-step folding instructions for over 40 models. Readers learn about polyhedra while making the models and are encouraged to design their own models. Although the book is for intermediate folders, beginners are encouraged to try because origami basics are explained. The diagrams are easy to follow and each model is accompanied by breathtaking finished model photographs.

Print ISBN: 978-1-56881-445-2 eBook ISBN: 978-1-4398-7108-9 November 2008, 8-1/2 x 11, 154 pp., Soft Cover Suggested Price: $26.95 / £18.99

Origami TessellationsAwe-Inspiring Geometric DesignsEric Gjerde

In this book, the author demonstrates 25 of his favorite arrangements and turns them into projects for newcomers as well as experienced origamists. With step-by-step instructions, illustrated crease patterns, and how-to photos, the book shows how to create these wonderful designs. The author covers the fundamentals of origami tessellations, provides history, and describes simple beginning techniques. An extensive gallery showcases tessellations folded by the world’s leading origami fine artists.

Print ISBN: 978-1-56881-451-3 eBook ISBN: 978-1-4398-7107-2 December 2008, 8.5 X 10, 128 pp., Soft Cover Suggested Price: $26.95 / £18.99

Origami Design SecretsMathematical Methods for an An-cient Art, Second EditionRobert J. Langwww.langorigami.com, Alamo, California, USA

Written by a world-renowned origamist, this work presents the mathematical and design principles used to create original origami. Drawing on his own designs, the author illustrates the techniques with folding instructions. Highly advanced models are included at the end of the book. This second edition presents several new chapters on polygon packing and box pleating as well as improved illustrations throughout.

Print ISBN: 978-1-56881-436-0 eBook ISBN: 978-1-4398-6774-7 October 2011, 8-1/2 x 11, 770 pp., Soft Cover Suggested Price: $62.95 / £40.99

Mathematical Card MagicFifty-Two New EffectsColm MulcahySpelman College, Atlanta, Georgia, USA

Featuring numerous original creations, this book presents an entertaining look at mathematically based card tricks. Each chapter contains four card effects, generally starting with simple applications of a particular mathematical principle and ending with more complex ones. Practice a handful of the introductory effects and, in no time, you’ll establish your reputation as a “mathemagician.” Delve a little deeper into each chapter and the mathematics gets more interesting. The author explains the mathematics as needed in an easy-to-follow way.


Do I Count?Stories from MathematicsGünter M. ZieglerFreie Universität Berlin, Germany

In this entertaining book of mathematical stories, the well-known and highly esteemed author provides a surprisingly entertaining tour of unfamiliar territory. Taking readers on a trip into the world of mathematics, he describes in a clear and captivating way the people behind the numbers and the places where mathematics is made. Forgoing esoteric areas, the text relates mathematics to celebrities, history, travel, politics, science and technology, weather, clever puzzles, and the future.

Print ISBN: 978-1-4665-6491-6 eBook ISBN: 978-1-4665-6492-3 July 2013, 6 x 9, 226 pp., Soft Cover Suggested Price: $29.95 / £18.99

A Cultural History of PhysicsKároly Simonyi

Written by Hungarian scientist and engineer Károly Simonyi, this classic and comprehensive history of physics has been translated and updated to offer a wide-ranging, in-depth account of the science of physics and an insightful interpretation of the cultural context in which these experimental discoveries and conceptual interpretations developed. A wealth of original sources and illustrations allow readers to get involved in an intellectual dialogue with the great scientific minds that created our understanding of the physical world.


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Classic Set TheoryFor Guided Independent StudyDerek GoldreiOpen University, UK

This textbook supplies students with sufficient grounding in the revolutionary results of set theory and enables them to tackle significant problems that arise from the theory. It assumes some experience with using sets, function, basic logic, and the fundamentals of real analysis. Specifically designed for self-study, the text provides a wealth of exercises that range from routine practice problems to rather difficult ones, including some without clear-cut answers that are intended to spark debate. It includes full solutions to many of the exercises.

Print ISBN: 978-0-412-60610-6 July 1996, 8 x 10, 296 pp., Soft Cover Suggested Price: $83.95 / £51.99

Automation of LogicChristoph WeidenbachMax Planck Institute for Informatics, Saarbrucken, GermanySeries: Chapman & Hall/CRC Studies in Informatics

Presenting first-order and propositional methods as well as implementation issues, this book provides a state-of-the-art introduction to the automation of logic. It focuses on superposition calculus and related rewriting techniques. It also covers decision procedures for certain theories and includes real-world applications. Each chapter contains implementation methods, historical background, suggestions for further reading, and software. Supplemental materials and resources are provided on the book’s website and a solutions manual is available upon qualifying course adoption.


Wearing Gauss’s JerseyDean Hathout

This text focuses on “Gauss problems”—problems that can be very tedious and time consuming when tackled in a traditional, straightforward way but if approached in a more insightful fashion, can yield the solution much more easily and elegantly. The book shows how mathematical problem solving can be fun and how students can improve their mathematical insight, regardless of their initial level of knowledge. It also explores how problems seemingly unrelated on the surface are actually extremely connected to each other. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-0864-4 eBook ISBN: 978-1-4665-8424-2 May 2013, 6 x 9, 276 pp. Suggested Price: $24.95 / £18.95

Unexpected ExpectationsThe Curiosities of a Mathematical Crystal BallLeonard M. WapnerEl Camino College, Torrance, California, USA

This work takes readers through mathematical paradoxes associated with seemingly straightforward applications of mathematical expectation and shows how these unexpected contradictions may push one to reconsider the legitimacy of the applications. Requiring only an understanding of basic algebraic operations, the book covers the roles of aversion and risk in rational decision making, envelope problems, Parrondo’s paradox, problems associated with imperfect recall, non-zero-sum games, Newcomb’s paradox, and the use of Benford’s law in computer design and fraud detection.


The Symmetries of ThingsJohn H. Conway, Heidi Burgiel, and Chaim Goodman-Strauss

Symmetry is a fundamental phenomenon in art, science, and nature that has been captured, described, and analyzed using mathematical concepts for a long time. Suitable for general readers, artists, mathematicians, and researchers, this richly illustrated book develops a comprehensive mathematical theory of symmetry that allows the description and classification of symmetries in numerous geometric environments. It addresses the phenomenological, analytical, and mathematical aspects of symmetry on three levels that build on one another.


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Project OrigamiActivities for Exploring Mathematics, Second EditionThomas Hull

This classroom-tested text presents a flexible, discovery-based approach to learning origami-math topics. It helps readers see how origami intersects a variety of mathematical topics, from the more obvious realm of geometry to the fields of algebra, number theory, and combinatorics. With over 100 new pages, this updated and expanded edition now includes 30 activities and offers better solutions and teaching tips for all activities. Each activity lists courses in which the activity might fit, includes handouts for classroom use, and provides notes for instructors.

Print ISBN: 978-1-4665-6791-7 eBook ISBN: 978-1-4665-8004-6 December 2012, 8 x 10, 364 pp., Soft Cover Suggested Price: $52.95 / £33.99

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Limits of ComputationAn Introduction to the Undecidable and the IntractableEdna E. Reiter and Clayton Matthew JohnsonCalifornia State University East Bay, Hayward, USA

This book offers a gentle introduction to the theory of computational complexity. It explains the difficulties of computation, addressing problems that have no algorithm at all and problems that cannot be solved efficiently. The text assumes no prior knowledge of automata, advanced algorithmic analysis, and formal languages. Each chapter presents the fundamentals, examples, complete proofs of theorems, and a wide range of exercises. PowerPoint slides are available for download on the book’s CRC Press web page.


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Introduction to Set TheoryThird Edition, Revised and ExpandedKarel HrbacekCity College of New York, USA

Thomas JechThe Pennsylvania State University, State College, USASeries: Chapman & Hall/CRC Pure and Applied Mathematics

This text covers the basics: relations; functions; orderings; finite, countable, and uncountable sets; and cardinal and ordinal numbers. It provides five new self-contained chapters, consolidates the material on real numbers into a single updated chapter affording flexibility in course design, supplies end-of-section problems of varying degrees of difficulty, includes new material on normal forms and Goodstein sequences, and adds important ideas, including filters, ultrafilters, closed unbounded and stationary sets, and partitions.


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Introduction to Mathematical ProofsA TransitionCharles E. Roberts, Jr.Indiana State University, Terre Haute, USASeries: Textbooks in Mathematics

This accessible book teaches how to reason logically, read proofs critically, and write valid mathematical proofs. It facilitates a smooth transition from courses designed to develop computational skills and problem-solving abilities to courses that emphasize theorem proving. The text proves many theorems from different areas in mathematics, provides a thorough presentation of logic, and develops integers from natural numbers, rational numbers from integers, and real numbers from rational numbers. It includes numerous examples and exercises, along with a solutions manual upon qualifying course adoption.


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Introduction to Mathematical LogicFifth EditionElliott MendelsonQueens College, Flushing, New York, USASeries: Discrete Mathematics and Its Applications

Retaining all the key features of its predecessors, this fifth edition of a long-established, best-selling text includes a new section covering basic ideas and results about nonstandard models of number theory, a second appendix that introduces modal propositional logic, an expanded bibliography, and additional exercises and selected answers. It continues to cover propositional logic, first-order logic, first-order number theory, axiomatic set theory, and the theory of computability. It also discusses the major results of Gödel, Church, Kleene, Rosser, and Turing.


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Elements of Advanced MathematicsThird EditionSteven G. KrantzWashington University, St. Louis, Missouri, USA

Continuing to bridge computationally oriented mathematics with more theoretically based mathematics, this best-selling text provides a path for students to understand the rigor, axiomatics, set theory, and proofs of mathematics. This third edition adds four new chapters on point-set topology, theoretical computer science, the P/NP problem, and zero-knowledge proofs and RSA encryption. It also includes more exercises sets in each chapter, expanded treatment of proofs, and new proof techniques. A solutions manual and figure slides are available upon qualifying course adoption.


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Computability TheorySecond EditionS. Barry CooperUniversity of Leeds, UKSeries: Chapman & Hall/CRC Mathematics

Designed for advanced undergraduate or beginning graduate students, this second edition includes new material on hyperarithmetical and Borel sets as well as more material on computability of structures, Pi-0-1 classes, and computability in science. It features an expanded treatment of complexity of computations and updated future directions in computability. The author also discusses advanced topics in greater depth, including Post’s problem, forcing and category, applications of determinacy, and the computability of theories. Figure slides are available upon qualifying course adoption.


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Bioinformatics Database SystemsJason T.L. WangNew Jersey Institute of Technology, Newark, USA

Katherine G. HerbertUniversity of Montclair, New Jersey, USA

This book explains the world of database systems to bioinformatics and cheminformatics database users. It surveys popular databases, including primary genetic and protein sequence, phylogenetic, structure and pathway, and microarray databases. The text discusses information management and modeling issues in these databases, addressing data quality issues as well as efforts in the data cleaning field to combat such problems. The authors also present new applications and case studies, from drug discovery to the structure of various molecular components of the cell.


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Algorithms for Next-Generation SequencingWing-Kin SungNational University of SingaporeSeries: Chapman & Hall/CRC Mathematical & Computational Biology

Sequencing technology enables us to study our genome on a large scale, but it also introduces new challenges, such as how to process vast amounts of data efficiently and how to summarize so much data. This text describes the algorithms for processing next-generation sequencing data. It also presents case studies that illustrate applications of next-generation sequencing. A solutions manual and figure slides are available upon qualifying course adoption.


The Universal ComputerThe Road from Leibniz to Turing, Turing Centenary EditionMartin Davis

This book chronicles the fascinating lives of seven remarkable people, their ideas, and their discoveries. These are the people who investigated the why and how of logical reasoning. The book chronicles the exhilaration and the pitfalls of trying to come to grips with the infinite. It also covers Alan Turing’s novel understanding of the nature of algorithmic processes and their potential, which led to the development of a machine that could be programmed to carry out any process—the precursor of the modern computer.

Print ISBN: 978-1-4665-0519-3 December 2011, 6 x 9, 240 pp., Soft Cover Suggested Price: $31.95 / £20.99

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Understanding Mathematical ProofJohn TaylorUniversity of Brighton, UK

Rowan GarnierSurrey, UK

Students often have difficulties in understanding proofs and constructing their own proofs. Suitable for a variety of courses or for self-study, this text helps students understand proofs and enhances their ability to construct correct proofs of their own. The book describes the nature of the mathematical proof, explores the various techniques that mathematicians adopt in proving their results, and offers advice and strategies for constructing proofs. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-1490-4 March 2014, 7 x 10, 350 pp., Soft Cover Suggested Price: $59.95 / £29.99

Mechanical Logic in Three-Dimensional SpaceGennaro AulettaUniversity of Cassino, Italy

This book explores how to build mechanical inferences through arithmetic operations on a string of numbers representing statements. It covers the field of traditional logic by showing that any kind of inference can be mechanically reduced to three-variable and two-premise inferences. Mereological inferences can also be easily treated in this way. The book discusses the structural description of space; three-variable inferences through products, sums, subtractions, and divisions; generalization to n variables; relations; and applications.


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MathematicsA Minimal IntroductionAlexandru BuiumUniversity of New Mexico, Albuquerque, USA

Minimizing the role of intuition, this text provides an introduction to pure mathematics for a one-semester undergraduate-level course. It builds on topics in algebra, geometry, and calculus from scratch in a non-circular way using many examples and exercises. Remarks scattered throughout the text address various philosophical and historical issues, putting the mathematics into context. The author uses easy-to-follow language and avoids overwhelming students with unnecessary material. A solutions manual, instructor’s manual, and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-1600-4 December 2013, 7 x 10, 208 pp., Soft Cover Suggested Price: $49.95 / £32.95

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Introduction to Biological NetworksAlpan RavalClaremont Graduate University, California, USA

Animesh RayKeck Graduate Institute, Claremont, California, USASeries: Chapman & Hall/CRC Mathematical & Computational Biology

With many examples throughout and clear explanations of key concepts, this book focuses on the concept of molecular and genetic interaction networks as a paradigm for interpreting the complexity of molecular biology at a genomic scale. The authors describe the experimental methods used to discover and test networks of interaction among biological molecules. They also present computational methods for predicting the interaction networks, discuss general mechanisms of network formation and evolution, and explore the application of network approaches to important problems in biology and medicine.


Genome AnnotationJung Soh, Paul M.K. Gordon, and Christoph W. SensenUniversity of Calgary, Alberta, CanadaSeries: Chapman & Hall/CRC Mathematical & Computational Biology

This thorough overview explores automated genome analysis and annotation from its origins to the challenges of next-generation sequencing data analysis. It explains how current analysis strategies were developed, including sequencing strategies, statistical models, and early annotation systems. The authors then present visualization techniques for displaying integrated results as well as state-of-the-art annotation tools, including MAGPIE, Ensembl, Bluejay, and Galaxy. They also discuss the pipelines for the analysis and annotation of complex, next-generation DNA sequencing data. MAGPIE and Bluejay are available on a CD.


Computational and Visualization Techniques for Structural Bioinformatics using ChimeraForbes J. BurkowskiUniversity of Waterloo, Ontario, CanadaSeries: Chapman & Hall/CRC Mathematical & Computational Biology

This book emphasizes computer programs that analyze protein structural data with program output-generating data files and visual feedback in the form of a molecular display. The theoretical part of the text considers both the mathematical models related to molecular structure and the computational strategies that work with these models to derive results. The practical part of the text presents UCSF Chimera as a “workbench” that provides a Python programming environment and the ability to see program output in the molecular display. A CD includes Python code, color figures, and session files for Chimera.


Computational Systems Biology of CancerEmmanuel Barillot, Laurence Calzone, Philippe Hupé, Jean-Philippe Vert, and Andrei ZinovyevInstitut Curie, Paris, FranceSeries: Chapman & Hall/CRC Mathematical & Computational Biology

Drawn from the authors’ decade-long work in the cancer computational systems biology lab at Institut Curie, this self-contained guide explains how to apply computational systems biology approaches to cancer research. Suitable for readers in both computational and life sciences, the book provides proven techniques and tools for cancer bioinformatics and systems biology research. It explores how computational systems biology can help fight cancer in three essential aspects: categorizing tumors, finding new targets, and designing improved and tailored therapeutic strategies.


A Computational Model of Immune ResponseFilippo CastiglioneIstituto per le Applicazioni del Calcolo (IAC) “Mauro Piccone,” Rome, Italy

Franco CeladaHospital for Joint Diseases, New York, New York, USA

This book describes a computational model of the immune system reaction, C-ImmSim. The book presents the basic model as well as the various customizations to implement the description of different diseases and the way they have been used to produce new knowledge either from hypothesis or from experimental data. The book can be used as a practical guide to implement a computational model with which to study a specific disease and address realistic clinical questions.


Bioinformatics EthicsGary SkuseRochester Institute of Technology, New York, USA

Highlighting the many challenges of bioinformatics, specifically data access, security, confidentiality, and propriety, this timely book considers the changing ethical demands of those responsible for sensitive data. It covers decision making in terms of access, implementation, and validation; application in the military and civilian arenas; and potential abuses and criminal uses, including sale of personal information to insurance companies.


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Translational MedicineThe Future of Therapy?Edited by

James MittraUniversity of Edinburgh, Scotland, UK

Christopher-Paul MilneTufts University, Medford, Massachusetts, USA

This book enhances conceptual and practical understanding of the emergence and progress of translational medicine (TM) and its potential impact on basic research, therapeutic development, and institutional infrastructure. In recognition of the various implications TM has for public health policy and commercial innovation, the book addresses the major systemic aspects of the field. Contributors explore the dynamic interactions and key challenges in translating new science into viable therapies for the clinic, including the importance of social, commercial, and regulatory environments in addition to good science.


RNA-seq Data AnalysisA Practical ApproachEija Korpelainen, Jarno Tuimala, Garry Wong, and Panu SomervuoSeries: Chapman & Hall/CRC Mathematical & Computational Biology

RNA-seq offers unprecedented information about transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. This self-contained guide enables researchers to examine differential expression at gene, exon, and transcript level and to discover novel genes, transcripts, and whole transcriptomes. Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools. The book also provides examples using both command line tools and open source graphical software, such as R, for non-computer-savvy wet lab biologists.


Next Generation SequencingPlatforms, Resources and Data AnalysisEdited by

Jennifer S. McDowallEuropean Bioinformatics Institute, Hinxton, UK

Elizabeth CampbellSeries: Chapman & Hall/CRC Mathematical & Computational Biology

This volume presents both technical details and biologically based case studies that help put the technology of next-generation sequencing (NGS) into perspective. It guides readers through the many different platforms of NGS technology, explaining the potential benefits and problems. The book also covers the data resources available and data analysis, including current resequencing protocols. The remainder of the book presents case studies from leading experts who provide a pragmatic problem-solving focus for a variety of biological and medical research subjects.


Microarray Image and Data AnalysisTheory and PracticeEdited by

Luis RuedaSeries: Digital Imaging and Computer Vision

This book presents a complete overview of microarray image analysis, covering different types of microarrays, such as cDNA, protein, tissue, and low- and high-density oligonucleotide arrays. Broad in scope, the book covers the most important aspects of microarray image analysis, including gridding, segmentation, quantification, normalization, clustering, and network analysis.


Medical Applications of Artificial IntelligenceEdited by

Arvin AgahUniversity of Kansas, Lawrence, USA

Due to their consistency and ability to be mass produced, artificial intelligence techniques and systems are being integrated into healthcare to enable accurate, efficient, and cost-effective applications. This book details the most recent advances and research efforts by worldwide experts in the field. The chapters follow the organization of the taxonomy and offer a clear connection between chapters.


Managing Your Biological Data with PythonAllegra ViaKristian RotherAdam Mickiewicz University, Poznan, Poland

Anna TramontanoUniversity of Rome La Sapienza, ItalySeries: Chapman & Hall/CRC Mathematical & Computational Biology

This book explains how to independently manage large biological data sets with Python. It covers basic aspects of computer usage as well as the simple programming of Python, showing how to use Python for biological data analysis, web interfacing of databases and scripts, and much more. The text includes many exercises and coding examples, making it ideal for self-study and classroom use. Code is also available on the authors’ website. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-4398-8093-7 December 2013, 6-1/8 x 9-1/4, 320 pp., Soft Cover Suggested Price: $59.95 / £38.99

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Bayesian Methods in EpidemiologyLyle D. BroemelingBroemeling and Associates, Medical Lake, Washington, USASeries: Chapman & Hall/CRC Biostatistics

Written by a biostatistics expert with over 20 years of experience in the field, this book is the first to introduce epidemiology from a Bayesian perspective. It shows epidemiologists how Bayesian models and techniques are useful in studying the association between disease and exposure to risk factors. With many examples and end-of-chapter exercises, the book employs the software package WinBUGS to carry out the analyses and offers the code in the text and for download online.


Bayesian Disease MappingHierarchical Modeling in Spatial Epidemiology, Second EditionAndrew B. LawsonMedical University of South Carolina, Charleston, USASeries: Chapman & Hall/CRC Interdisciplinary Statistics

This second edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease through a range of real-world datasets. This edition includes new chapters on regression and ecological analysis, putative hazard modeling, and disease map surveillance as well as new appendices featuring examples of INLA and CAR models. It also presents expanded material on case event modeling and spatiotemporal analysis.


Bayesian Adaptive Methods for Clinical TrialsScott M. Berry, Bradley P. Carlin, J. Jack Lee, and Peter MüllerSeries: Chapman & Hall/CRC Biostatistics

Written by leading pioneers of Bayesian clinical trial designs, this book explores the growing role of Bayesian thinking in clinical trial analysis. Covering Phase I, II, and III clinical trials, it establishes the basic principles before extending them to specific phases and endpoints. The authors also discuss the use of historical data, equivalence studies, multiplicity and multiple comparisons, and subgroup analysis. They provide many detailed examples drawing on real data sets. The R and WinBUGS codes used throughout are available on supporting websites.


Applied Meta-Analysis with RDing-Geng (Din) ChenUniversity of Rochester, New York, USA

Karl E. PeaceJiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USASeries: Chapman & Hall/CRC Biostatistics

This book provides detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R packages and functions. This systematic approach helps readers thoroughly understand the analysis methods and R implementation, enabling them to use R and the methods to analyze their own meta-data.


Applied Medical Statistics Using SASGeoff DerUniversity of Glasgow, Scotland, UK

Brian S. EverittProfessor Emeritus, Institute of Psychiatry, King’s College, London, UK

Designed for medical statisticians, this intermediate-level reference explores the use of SAS for analyzing medical data. A chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains an example-based approach, with SAS code and output included throughout and available online.


Analysis of Competing Risks DataConcepts, Methods and SoftwareRonald GeskusSeries: Chapman & Hall/CRC Biostatistics

This practical book helps biomedical and epidemiological researchers extend their knowledge and skills in the analysis of standard time-to-event data to the competing risks setting. The author explains the main concepts that play a role in competing risks analyses, including the independence assumption with respect to censoring and truncation, cause-specific cumulative incidence, and competing risks as the simplest form of a multi-state model. Analyses can be performed using the survival R package.


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Clinical and Statistical Considerations in Personalized MedicineEdited by

Claudio Carini and Sandeep M MenonPfizer, Cambridge, Massachusetts, USA

Mark ChangAMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USASeries: Chapman & Hall/CRC Biostatistics

Personalized medicine has the potential to change the way we think about, identify, and manage health problems. In the pharmaceutical industry, it is already having an exciting impact on both clinical research and patient care and this impact will grow as our understanding and technologies improve. With contributions from well-known industry leaders in clinical development, this book covers the practical aspects of personalized medicine. It focuses on issues that have direct application in the industry.


Causal InferenceMiguel A. Hernan and James M. RobinsHarvard School of Public Health, Boston, Massachusetts, USA

The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.


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Biostatistics in ActionBasic and Advanced Statistical Modeling Using SPSSFlorin Vaida and Anya UmlaufUniversity of California–San Diego, La Jolla, USA

Designed for medical researchers without a background in statistics, this text takes readers easily from basic boxplots and t-tests to linear and logistic regression and survival analysis to more complex generalized linear and nonlinear models and longitudinal data analysis. With many examples and data drawn from real biomedical research, the book focuses on practical statistical analyses using SPSS. It requires no prior statistical background and only assumes familiarity with elementary mathematics. A solutions manual and figures slides are available upon qualifying course adoption.


BiosimilarsDesign and Analysis of Follow-on BiologicsShein-Chung ChowDuke University School of Medicine, Durham, North Carolina, USASeries: Chapman & Hall/CRC Biostatistics

Written by a top biostatistics researcher, this is the first book entirely devoted to the statistical design and analysis of biosimilarity and interchangeability of biosimilar products. It includes comparability tests of important quality attributes at critical stages of the manufacturing processes of biologic products. The book focuses on the scientific factors and practical issues related to the design and analysis of biosimilar studies. It covers most of the statistical questions encountered in various study designs at different stages of R&D of biological products.


Benefit-Risk Assessment in Pharmaceutical Research and DevelopmentEdited by

Andreas Sashegyi, James Felli, and Rebecca NoelEli Lilly and Company, Indianapolis, Indiana, USASeries: Chapman & Hall/CRC Biostatistics

This work presents an overview of benefit-risk assessment approaches for pharmaceutical R&D. It covers various decision-making points along the R&D spectrum that would benefit from benefit-risk analysis, including during lead development and optimization, early and late planning of clinical development, and regulatory review. The book also looks at health outcomes and comparative effectiveness analysis. In addition, the authors address current and future barriers to using risk-benefit modeling, including greater regulatory acceptance.


Bayesian Methods in Health EconomicsGianluca BaioUniversity College London, UKSeries: Chapman & Hall/CRC Biostatistics

After an introduction to basic economic concepts and methods of evaluation, this book presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis, hierarchical models, and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.


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Handbook of Statistics in Clinical OncologyThird EditionEdited by

John CrowleyCEO, Cancer Research and Biostatistics, Seattle, Washington, USA

Antje HoeringCancer Research and Biostatistics, University of Washington, and Fred Hutchinson Cancer Research Center, Seattle, USA

This third edition covers the new developments involved in the design and analysis of cancer clinical trials. Accessible to statisticians in clinical trials as well as oncologists interested in clinical trial methodology, the book presents up-to-date statistical approaches to the design and analysis of oncology clinical trials. New topics in this edition include trial designs for targeted agents, Bayesian trial design, and the inclusion of high-dimensional data and imaging techniques. This edition also contains numerous figures and examples to better explain concepts.


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EpidemiologyStudy Design and Data Analysis, Third EditionMark WoodwardMount Sinai Medical Center, New York, New York, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Updated and expanded, this popular text shows students how statistical principles and techniques can help solve epidemiological problems. Along with more exercises and examples using both Stata and SAS, this third edition includes a new chapter on risk scores and clinical decision rules, a new chapter on computer-intensive methods, and new sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines. Supporting materials are available on the book’s CRC Press web page. A solutions manual and figure slides are available upon qualifying course adoption.


Encyclopedia of Biopharmaceutical StatisticsThird Edition, Revised and ExpandedEdited by

Shein-Chung ChowDuke University School of Medicine, Durham, North Carolina, USA

Widely used by pharmaceutical scientists, clinical researchers, and biostatistics, the third edition of this definitive reference includes 89 new chapters, bringing the total number of chapters to 230. It provides updated information on changes in regulatory requirements for drug review/approval processes and reflects recent developments in statistical design and methodology. This edition also covers new topics, including adaptive design in clinical research, translational medicine, statistical genetics, biomarker development, target clinical trials, follow-on biologics, and traditional Chinese medicine.

Print ISBN: 978-1-4398-2245-6 eBook ISBN: 978-1-4822-1866-4 December 2012, 8-1/2 x 11, 1504 pp. Suggested Price: $848.00 / £540.00

Design and Analysis of Non-Inferiority TrialsMark D. RothmannSilver Springs, Maryland, USA

Brian L. WiensAlcon Laboratories, Fort Worth, Texas, USA

Ivan S.F. ChanMerck & Company, North Wales, Pennsylvania, USASeries: Chapman & Hall/CRC Biostatistics

This book brings together the body of research on non-inferiority studies and confronts the issues involved in the design of these trials. Using examples from real clinical trials, the book discusses general and regulatory issues and illustrates how they affect analysis. Each chapter begins with a non-technical introduction, so the subject is easily understood by those without prior knowledge of non-inferiority clinical trials. The book also provides detailed mathematical approaches along with their mathematical properties.


Design and Analysis of Cross-Over TrialsThird EditionByron JonesNovartis Pharma AG, Basel, Switzerland

Michael G. KenwardSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Since the publication of the second edition, there has been significant R&D in cross-over trials, which continue to be an important design technique in the pharmaceutical industry. This new edition has been updated with recent references and new material on analysis of small trials, analysis of baseline measurements, bioequivalence, cross-over trials in early phase drug development, and adaptive cross-over trials. The book includes numerous real examples, including some new data sets to illustrate the methods described, with SAS code available for their implementation.


Design and Analysis of Bridging StudiesEdited by

Jen-pei Liu, Shein-Chung Chow, and Chin-Fu HsiaoSeries: Chapman & Hall/CRC Biostatistics

Taking into account the International Conference Harmonisation E5 framework for bridging studies, this book covers the regulatory requirements, scientific and practical issues, and statistical methodology for designing and evaluating bridging studies and multiregional clinical trials. For bridging studies, the authors explore ethnic sensitivity, the necessity of bridging studies, types of bridging studies, and the assessment of similarity between regions based on bridging evidence. For multiregional clinical trials, the text considers regional differences, assesses the consistency of treatment effect across regions, and discusses sample size determination for each region.


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Modelling Survival Data in Medical ResearchSecond EditionDavid CollettUK Transplant, Bristol, UKSeries: Chapman & Hall/CRC Texts in Statistical Science

Profusely illustrated with examples and written in an easy-to-follow style, this practical guide begins with an introduction to survival analysis and a description of four studies that lead to survival data. Subsequent chapters use those data sets and others to illustrate various analytical techniques applicable to such data. This second edition features a more detailed treatment of parametric models, accelerated failure time models, and analysis of interval-censored data. It also illustrates methods using SAS to generate and examine output in detail.


Methods in Brain Connectivity Inference through Multivariates Time Series AnalysisEdited by

Koichi Sameshima and Luiz Antonio BaccalaUniversity of Sao Paulo, BrazilSeries: Frontiers in Neuroengineering

This book addresses the use of time series data in brain connectivity interference studies in clinical, behavioral, and experimental neurosciences. It incorporates multidisciplinary work from applied mathematics, statistics, and animal and human experiments at the forefront of using time series analysis approaches, which offer information into how brain areas effectively interact. Each contributor provides codes and data examples to back up their methodological descriptions, providing readers with hands-on experience with the methods and an appreciation of their merits and limitations.


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Medical BiostatisticsThird EditionAbhaya IndrayanSeries: Chapman & Hall/CRC Biostatistics

The third edition of this acclaimed reference focuses on the statistical aspects of medicine, showing how biostatistics is a useful tool to manage some medical uncertainties. This edition includes several new topics, provides expanded coverage of many other topics, and includes software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous real-world examples. Figure slides are available upon qualifying course adoption.


Joint Models for Longitudinal and Time-to-Event DataWith Applications in RDimitris RizopoulosErasmus University Medical Center, Rotterdam, NetherlandsSeries: Chapman & Hall/CRC Biostatistics

Longitudinal studies often investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest. An example is prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Emphasizing applications, this book provides a full treatment of joint models for longitudinal and time-to-event data. All illustrations are available in the R programming language via the freely available package JM written by the author.


Interval-Censored Time-to-Event DataMethods and ApplicationsEdited by

Ding-Geng (Din) ChenUniversity of Rochester, New York, USA

Jianguo SunUniversity of Missouri, Columbia, USA

Karl E. PeaceJiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USASeries: Chapman & Hall/CRC Biostatistics

A practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers developments in the analysis and modeling of interval-censored time-to-event data. Top researchers from academia, biopharmaceutical industries, and government agencies show how recent statistical methods are used in biopharmaceutical and public health applications. The book presents data from actual clinical trials and biomedical research, including breast cancer and HIV data sets. It also offers easy access to computational methods and R software packages.


Handbook of Survival AnalysisEdited by

John P. Klein, Hans C. van Houwelingen, Joseph G. Ibrahim, and Thomas H. ScheikeSeries: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

With chapters written by leading researchers in the field, this handbook presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. The book focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field.

Print ISBN: 978-1-4665-5566-2 July 2013, 7 x 10, 656 pp. Suggested Price: $99.95 / £63.99

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Randomized Phase II Cancer Clinical TrialsSin-Ho JungDuke University, Durham, North Carolina, USASeries: Chapman & Hall/CRC Biostatistics

Suitable for cancer clinicians and biostatisticians, this book explains how to properly select and accurately use diverse statistical methods for designing and analyzing phase II trials. The author first reviews the statistical methods for single-arm phase II trials since some methodologies for randomized phase II trials stem from single-arm phase II trials and many phase II cancer clinical trials still use single-arm designs. The book then presents methods for randomized phase II trials and describes statistical methods for both single-arm and randomized phase II trials.


Quantitative Evaluation of Safety in Drug DevelopmentDesign, Analysis and ReportingEdited by

Qi Jiang and H. Amy XiaAmgen Inc., Thousand Oaks, California, USASeries: Chapman & Hall/CRC Biostatistics

Drug safety has always been important, but it has taken on increasing scrutiny in recent years. This book covers the most state-of-the-art methods in drug safety assessment. In addition, statistical methods for drug safety assessment are still evolving and new methods are under development. The book brings the most advanced knowledge and statistical methodology to the statistical/clinical/safety community, shares best practices, and stimulates further research and methodology development in the drug safety arena.


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Practical Statistics for Medical ResearchDouglas G. AltmanUniversity of Oxford, UKSeries: Chapman & Hall/CRC Texts in Statistical Science

This problem-based, best-selling text is for those in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on 20 years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, emphasizing the practical aspects of designing and analyzing medical research. Using real data and including dozens of interesting data sets, the text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.


Patient-Reported OutcomesMeasurement, Implementation and InterpretationJoseph C. Cappelleri, Kelly H. Zou, Andrew G. Bushmakin, Jose M. Alvir, Demissie Alemayehu, and Tara SymondsSeries: Chapman & Hall/CRC Biostatistics

Covering conceptual and statistical methods, this book discusses the issues related to measuring and interpreting patient-reported outcomes (PROs). It covers measurement scales, validity and reliability, item response theory, and missing data. The book also describes various statistical analysis techniques, including exploratory, cross-sectional, and longitudinal data analysis, and highlights the practical interpretation and application of the techniques in clinical and pharmaceutical settings. SAS code for all methods is available in an appendix and online.


Optimal Design for Nonlinear Response ModelsValerii V. FedorovQuintiles, Durham, North Carolina, USA

Sergei L. LeonovAstraZeneca, Wilmington, Delaware, USASeries: Chapman & Hall/CRC Biostatistics

This work discusses the theory and applications of model-based experimental design with a strong emphasis on biopharmaceutical studies. While the focus is on nonlinear models, the book begins with an explanation of the key ideas, using linear models as examples. Applying the linearization in the parameter space, it then covers nonlinear models and locally optimal designs as well as minimax, optimal on average, and Bayesian designs. The authors also discuss adaptive designs, focusing on procedures with non-informative stopping.


Multivariate Survival Analysis and Competing RisksMartin CrowderImperial College, University of London, UKSeries: Chapman & Hall/CRC Texts in Statistical Science

Suitable for graduate students and researchers in statistics and biostatistics as well as those in the medical field, epidemiology, and social sciences, this book introduces univariate survival analysis and extends it to the multivariate case. It also covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods.


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Statistical Methods in Health Economic Evaluation Using SASIftekhar KhanUniversity College London, UK

This guide explains how to apply health economic evaluation techniques to both clinical trial and non-clinical trial data. Through a simple, applied approach using examples and SAS software, the book helps statisticians and researchers in health economics assess cost-effectiveness. It covers trial design, case report form design, quality of life measures, sample sizes, submissions to regulatory authorities for reimbursement, Markov models, cohort models, and decision trees. Examples and case studies are provided at the end of each chapter.


Statistical and Computational Methods in Brain Image AnalysisMoo K. ChungUniversity of Wisconsin-Madison, USASeries: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences

The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describes the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB® and case study data sets, this is the first book to explicitly explain how to perform statistical analysis on brain imaging data.


Statistical Analysis of Human Growth and DevelopmentYin Bun CheungSeries: Chapman & Hall/CRC Biostatistics

Designed for nonstatisticians and statisticians new to the analysis of growth and development data, this book is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. It explains how to use the methods to solve common research problems. It also discusses how well a method addresses a specific scientific question and how to interpret and present the analytic results. Stata codes are available on the book’s CRC Press web page.


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Stochastic Modelling for Systems BiologySecond EditionDarren J. WilkinsonSchool of Mathematics and Statistics, Newcastle University, UKSeries: Chapman & Hall/CRC Mathematical & Computational Biology

This book provides an accessible introduction to the use of stochastic processes for modeling biological systems, such as genetic and biochemical networks. Focusing on simulation, the text includes many examples, R and SBML code, and a number of computer-based exercises. Fully up Print ISBN: 978-1-4398-3772-6

eBook ISBN: 978-1-4665-1141-5 November 2011, 6-1/8 x 9-1/4, 363 pp. Suggested $93.95 / £59.99

Textbook

Regression Models as a Tool in Medical ResearchWerner VachInstitute of Medical Biometry and Medical Informatics, Freiburg, Germany

This text presents the fundamental concepts and important aspects of regression models most commonly used in medical research, including the classical regression model for continuous outcomes, the logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The author emphasizes adequate use, correct interpretation of results, appropriate presentation of results, and avoidance of potential pitfalls. A solutions manual and figure slides are available upon qualifying course adoption.


Randomised Response-Adaptive Designs in Clinical TrialsAnthony C Atkinson and Atanu BiswasSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Response-adaptive designs, which aim to reduce the number of patients receiving inferior treatments, are becoming increasingly popular in Phase III clinical trials. This book presents up-to-date methodology and necessary background material on adaptive clinical trials. Illustrating methods with numerous real-world examples from recent clinical trials, the book offers practical guidelines for applying these methods in the field. It also explores future research directions and provides supporting software for download online.


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Writing Dissertation and Grant ProposalsEpidemiology, Preventive Medicine and BiostatisticsLisa Chasan-TaberUniversity of Massachusetts, Amherst, USA

This guide covers all aspects of the scientific proposal-writing process, from structure and style to obtaining research grant funding. Organized much like a research proposal, the book explains how to identify a research topic, draft a hypothesis, conduct a literature review, describe methods for data collection and analysis, and present the proposal. The final section offers strategies for putting together a winning NIH proposal and responding to reviewer comments. Concepts are illustrated with examples, applications, exercises, and guideline checklists.

Print ISBN: 978-1-4665-1206-1 March 2014, 6-1/8 x 9-1/4, 384 pp., Soft Cover


Theory of Drug DevelopmentEric B. HolmgrenSeries: Chapman & Hall/CRC Biostatistics

This book focuses on the efficient development of drugs and the quantification of evidence in drug development. It presents a formal quantitative framework for understanding drug development that goes beyond simply describing the properties of the statistics in individual studies. Examining the drug development process from the perspectives of both drug companies and regulatory agencies, the author provides a rationale for underpowered phase 2 trials based on the notion of efficiency and develops a framework for evaluating the strength of evidence generated by clinical trials.


Textbook

Survival Analysis in Medicine and GeneticsJialiang LiNational University of Singapore

Shuangge MaYale University, New Haven, Connecticut, USASeries: Chapman & Hall/CRC Biostatistics

Using real data sets throughout, this text introduces the latest methods for analyzing high-dimensional survival data. It presents a statistical framework for burgeoning research in this area and offers a set of established approaches for statistical analysis. The book reveals a new way of looking at how predictors are associated with censored survival time and extracts novel statistical genetic methods for censored survival time outcome from the vast amount of research results in genomics. An instructor’s manual and figure slides are available upon qualifying course adoption.


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Statistics for EpidemiologyNicholas P. JewellUniversity of California, Berkeley, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Written by one of the top biostatisticians in the field, Statistics for Epidemiology explains the ideas behind the analysis of epidemiological data without requiring a high level of mathematics or resorting to a “cookbook” format. It covers the basic material for analyzing data that arise from simple epidemiological studies, including case-control and matched studies. Methodologically, it describes stratification techniques for handling confounding interaction and the logistic regression model. A few simple examples are used throughout several method chapters.


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Statistics and Data Analysis for Microarrays Using R and BioconductorSecond Edition Sorin DraghiciWayne State University, Detroit, Michigan, USASeries: Chapman & Hall/CRC Mathematical & Computational Biology

Richly illustrated in color, this best-selling text takes a hands-on, example-based approach that explains the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. Now using R and Bioconductor, this edition has been expanded with 14 new chapters and 600 more pages. R code is available on a CD-ROM. Figure slides are available upon qualifying course adoption.


Statistical Methods for QTL MappingZehua ChenNational University of SingaporeSeries: Chapman & Hall/CRC Mathematical & Computational Biology

While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. This book brings together many recent statistical techniques that address the data complexity of QTL mapping. It emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. The book gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists.


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A Handbook of Statistical Analyses Using StataFourth EditionBrian S. EverittProfessor Emeritus, Institute of Psychiatry, King’s College, London, UK

Sophia Rabe-HeskethUniversity of California, Berkeley, USA

Fully updated, the fourth edition of this highly acclaimed, best-selling handbook demonstrates how a wide variety of statistical analyses, including descriptive statistics, graphics, and model estimation and diagnostics, can be performed using Stata version 9. The authors present Stata’s new mixed-models estimation command and a new matrix language. This edition also contains more exercises that use various data sets and numerous examples of real-life data. The book offers selected solutions in an appendix as well as a solutions manual upon qualifying course adoption.

Print ISBN: 978-1-58488-756-0 eBook ISBN: 978-1-4665-8057-2 November 2006, 6 x 9, 352 pp., Soft Cover Suggested Price: $75.95 / £48.99

A Handbook of Statistical Analyses using SASThird EditionGeoff DerUniversity of Glasgow, Scotland, UK


This third edition of a bestseller explains how to conduct a range of statistical analyses using SAS. It illustrates each type of analysis with numerous real-world data examples, such as environmental causes of diseases, hypertension treatment, and gastric cancer treatment. This edition presents the new graphics procedures of SAS 9.2. It also includes more end-of-chapter exercises and selected answers in the appendix, along with a solutions manual that provides SAS code, output, and comments. The SAS programs and data sets used in the book are available online.


A Handbook of Statistical Analyses Using RThird EditionBrian S. EverittProfessor Emeritus, Institute of Psychiatry, King’s College, London, UK

Torsten HothornUniversity of Zurich, Switzerland

One of the leading references on analyzing data using R, this third edition has been updated with much more descriptive text to support the computer code. Along with many new references, datasets, and exercises, this edition also includes new chapters on Bayesian methods, missing data and imputation, and spatial methods. The book is supported by an R package and provides all the data and code online.


Handbook of SAS® DATA Step ProgrammingArthur LiCity of Hope National Medical Center, Los Angeles County, California, USA

This handbook shows readers how best to manage and manipulate data by using the DATA step in SAS, helping them avoid common problems when creating SAS data sets. The author explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution.


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Foundations of Statistical AlgorithmsClaus Weihs, Olaf Mersmann, and Uwe LiggesTechnical University of Dortmund, GermanySeries: Chapman & Hall/CRC Computer Science & Data Analysis

This text reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment, verification, iteration, intuition, randomness, repetition, parallelization, and scalability. It also touches on topics not usually covered in similar books, namely, systematic verification and the scaling of many established techniques to very large databases. Each chapter offers examples, exercises, and selected solutions. A solutions manual and figure slides are available upon qualifying course adoption.


ClusteringA Data Recovery Approach, Second EditionBoris MirkinDCS Birkbeck University of London, UK, and NRU Higher School of Economics, Moscow, RussiaSeries: Chapman & Hall/CRC Computer Science & Data Analysis

Covering both classical and modern approaches, including k-means and divisive clustering, this book uses in-depth case studies to illustrate how clustering methods can be applied. This second edition expands and improves the case studies and presents new material on variable selection and weighting, similarity/relational data clustering, spectral clustering, and interpretation of clusters. A supplementary website provides MATLAB® code and datasets for all of the examples presented in the text.


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Multiple Factor Analysis by Example Using RJérôme PagèsAgrocampus-Ouest, Rennes, FranceSeries: Chapman & Hall/CRC The R Series

An extension of classical factor analysis, multiple factor analysis (MFA) is used when the data is structured in a group, such as in a questionnaire that covers various topics with several questions under each topic. Written by the original developer of the methodology, this book illustrates how to use MFA for studying data. It presents an overview of the methodology and includes many worked examples and an R package for the analyses.


Methods of Statistical Model EstimationJoseph M. HilbeCalifornia Institute of Technology, Pasadena, USA and Arizona State University, Tempe, USA

Andrew RobinsonUniversity of Melbourne, Parkville, Australia

This book examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting. It presents algorithms for the estimation of a variety of useful regression procedures. Fully developed, working R code is constructed for each method.


Linear Mixed ModelsA Practical Guide Using Statistical SoftwareBrady T. West, Kathleen B. Welch, and Andrzej T GaleckiUniversity of Michigan, Ann Arbor, USA

In this easy-to-use resource, the authors fit LMMs based on both general and hierarchical model specifications, develop the model-building process step by step, and demonstrate the estimation, testing, and interpretation of fixed-effect parameters and covariance parameters associated with random effects. Concepts are illustrated through examples of real-world data sets using R, SAS, SPSS, HLM, and Stata that enable comparison of model-fitting options and results across the software procedures. A supporting website provides software code and the data sets discussed in the book.


Introduction to Scientific Programming and Simulation Using RSecond EditionOwen Jones, Robert Maillardet, and Andrew RobinsonUniversity of Melbourne, Parkville, AustraliaSeries: Chapman & Hall/CRC The R Series

Suitable for researchers and students in science, business, economics, and engineering, this best-selling book provides an introduction to scientific programming, stochastic modeling, and simulation using R. This second edition contains new chapters on ODEs, linear algebra, and Markov chain simulation. It also adds material on handling dates and programming and includes new exercises, student projects, and case studies. A supplementary website offers code and answers to selected exercises.


Implementing Reproducible ResearchEdited by

Victoria StoddenColumbia University, New York, New York, USA

Friedrich LeischUniversity of Natural Resources and Life Sciences, Vienna, Austria

Roger D. PengJohns Hopkins University, Baltimore, Maryland, USASeries: Chapman & Hall/CRC The R Series

In many of today’s scientific fields, researchers are now encouraged to incorporate software, data, and code in their academic papers so that others can replicate their research results. Edited by three pioneers in this emerging area, this book is the first one to explore this groundbreaking topic. It presents various computational tools useful in research, including cloud computing, data repositories, virtual machines, R’s Sweave function, XML-based programming, and more. It also discusses legal issues and case studies.


A Handbook of Statistical Graphics Using SASGeoff DerUniversity of Glasgow, Scotland, UK


This handbook shows how to use SAS to create many different types of useful statistical graphics for exploring data and diagnosing fitted models. The book focuses on the relatively new SAS ODS graphics, including graphs that are produced routinely via ODS and more tailored graphics. Each chapter deals graphically with several sets of data from a wide variety of areas and includes exercises.


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SAS and RData Management, Statistical Analysis, and Graphics, Second EditionKen KleinmanHarvard University, Boston, Massachusetts, USA

Nicholas J. HortonSmith College, Northampton, Massachusetts, USA

This widely praised book shows how equivalent statistical methods can be applied in either SAS or R, enabling users of each software package to learn how to apply the methods in the other. The book covers data management, simple statistical procedures, modeling, regression, and graphics. This second edition includes new entries on various statistical procedures. It also presents many new examples in a number of new chapters covering simulation, probability, statistics, mathematics/computing, and graphics.


Reproducible Research with R and RStudioChristopher GandrudHertie School of Governance, Berlin, GermanySeries: Chapman & Hall/CRC The R Series

Bringing together computational research tools in one accessible source, this book guides readers in creating dynamic and highly reproducible research. Whether an advanced user or just getting started with tools such as R and LaTeX, the book saves readers time searching for information and helps them successfully carry out computational research. It provides a practical reproducible research workflow for gathering and analyzing data as well as dynamically presenting results in print and on the web. Supplementary materials are available on the author’s website.


R GraphicsSecond EditionPaul MurrellThe University of Auckland, New ZealandSeries: Chapman & Hall/CRC The R Series

Written by the foremost authority in the field, this book explains how to use R to produce high-quality statistical graphics. Completely updated and revised, this second edition includes a number of new chapters covering new graphics-related packages that have been developed, such as the ggplot2 package. Other new chapters feature discussions of interactive graphics, 3D graphics, and importing graphics. This edition also includes new examples as well as enhanced exercises for teaching or self-study.


Programming Graphical User Interfaces in RMichael F. LawrenceGenentech Research and Early Development, South San Francisco, California, USA

John VerzaniCUNY/College of Staten Island, New York, USASeries: Chapman & Hall/CRC The R Series

Focusing on GUIs within the R language, this book shows programmers and users how to develop their own GUIs, enabling them to interface with other languages. The text opens the possibilities of R’s huge and growing set of statistical methods. Supported by a package in CRAN that contains all of the code along with additional examples, the text is filled with numerous examples ranging from the very simple to detailed illustrations of how to code actual interfaces.


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Probability and Statistics for Computer ScientistsSecond EditionMichael BaronUniversity of Texas at Dallas, Richardson, USA

Meeting the ABET requirements for probability and statistics, this text helps readers understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. The second edition offers a new axiomatic introduction of probability, expanded coverage of statistical inference, more exercises at the end of each chapter, and additional MATLAB® codes, particularly new commands of the Statistics Toolbox. A solutions manual and figure slides are available upon qualifying course adoption.


Parallel Computation in Data ScienceWith Examples in RNorman MatloffUniversity of California, Davis, USASeries: Chapman & Hall/CRC The R Series

With a focus on multicore machines and clusters as well as GPU computing, this book covers parallel R in the broad context of the general principles of parallel computing. It gives concrete technical details on the various packages and methods of parallel computation in R, along with numerous examples of code. The book also explains general parallel programming issues, including loop scheduling, communications delays, and the implications of hardware structures on communications delays.


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Data Analysis and Statistics for Geography, Environmental Science, and EngineeringMiguel F. AcevedoUniversity of North Texas, Denton, USA

This practical, classroom-tested text helps readers learn quantitative methodology, including how to implement advanced analysis methods using an open-source software platform. The book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applied to a variety of geographical and environmental models. Theory is accompanied by hands-on computer exercises. The text also presents a review of mathematical methods, making the book self-contained. An instructor’s manual and figures slides are available upon qualifying course adoption.


Bayesian PhylogeneticsMethods, Computational Algorithms, and ApplicationsEdited by

Ming-Hui Chen, Lynn Kuo, and Paul O. LewisUniversity of Connecticut, Storrs, USASeries: Chapman & Hall/CRC Mathematical & Computational Biology

Unique in its coverage of Bayesian phylogenics, this book covers advances in statistics as applied to the field of phylogenetics and coalescence-based population genetics. It is designed for statisticians who are working in phylogenetic or population genetic applications and biologists who are interested in the latest approaches to Bayesian modeling. The book includes contributions from the chief experts working in this area and provides a comprehensive overview of current research and directions for future exploration.


Agricultural Statistical Data Analysis Using StataGeorge BoyhanUniversity of Georgia, Athens, USA

This volume introduces readers to the use of Stata to solve agricultural statistical problems. It explains the various windows and menus, describes how they are integrated, and explores data entry and importing as well as basic output formats and descriptive statistics. The author describes the ever-increasing design complexity and how this is implemented in the software. He also examines programming ability, post hoc tests, and Stata’s graphing capabilities. The final chapters cover regression analysis, data transformations, and the analyses of non-parametric data.


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Statistical Computing with RMaria L. RizzoBowling Green State University, Ohio, USASeries: Chapman & Hall/CRC The R Series

This text covers the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. An excellent tutorial on R programming techniques used in practical computational problems, it illustrates every algorithm with at least one fully implemented example coded in R. The book also offers the source code for all examples online and contains numerous exercises. A solutions manual is available upon qualifying course adoption.


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Statistical Computing in C++ and RRandall L. EubankArizona State University, Tempe, USA

Ana KupresaninLawrence Livermore National Laboratory, California, USASeries: Chapman & Hall/CRC The R Series

This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require working knowledge of basic concepts in statistics and experience in programming, it does not require knowledge specific to C++ or R. Figure slides are available upon qualifying course adoption.


Sensory Data Analysis by Example with RSebastien LeAgrocampus Quest, Rennes, France

Thierry WorchOP&P Product Research, Utrecht, The Netherlands

Sensory data are present in many fields of application, such as in the food industry for product development. This book presents the theory and applications of sensory data analysis. It includes an abundance of real examples and emphasizes the use of R for conducting analyses. The mathematics is kept to a minimum and the problem-driven approach ensures that the book is suitable for researchers from many disciplines.


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Scale in Spatial Information and AnalysisJingxiong ZhangNASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Peter AtkinsonUniversity of Southampton, UK

Michael GoodchildUniversity of California, Santa Barbara, USA

This book provides a coherent synthesis of past and current research on scale issues in spatial information and analysis. Within a clear geostatistical framework, it describes fundamental concepts, theories, and techniques essential for scale-dependent and sensitive handling of multi-source spatial data. The book includes examples and illustrations for mathematical detail and outlines potential future developments in the field.


Quantitative EcotoxicologySecond EditionMichael C. NewmanCollege of William and Mary, Gloucester Point, Virginia, USA

This expanded and fully updated second edition discusses fundamental concepts and definitions essential to understanding the fate and effects of toxicants at various levels of ecological organization. It includes definitions of scientific ecotoxicology and associated topics and outlines the historical perspective, rationale, and characteristics of the strong inferential and quantitative approach advocated in the book. It also highlights important design issues of quantitative methods. Numerous figures and tables accompany the text, with many statistical tables included in the appendix for quick reference.


Multi-Digital Terrain Modeling and Fusion for Environmental AnalysisSagi DalyotIKG Leibnit Universitat Hannover, Israel

Yerach DoytsherTechnion-Israel Institute of Technology, Raanana

John K. HallGeological Survey of Israel, Jerusalem

This book discusses a new approach for geo-related environmental analyses processes, such as fusion. This approach simultaneously handles different existing topographic databases and enables a more true-to-nature handling of digital models representing our natural environment. The book outlines the methodology and its different algorithms and implementations, along with statistical and visual detailing. Using real case studies and applications, the authors also discusses when and how to use the methodology.


Introduction to Ecological SamplingEdited by

Bryan F.J. ManlyWestern EcoSystem Technology, Inc., Laramie, Wyoming, USA

Jorge A. Navarro AlbertoUniversidad Autonoma deucatan, Merida, Yucatan, MexicoSeries: Chapman & Hall/CRC Applied Environmental Statistics

Accessible to ecological researchers, this book is the first to introduce ecological sampling methods from a statistical viewpoint. It starts with classic random sampling methods and then covers more advanced forms of sampling, including adaptive, line transect, and plotless sampling. It also describes trend analysis, resource selection, and mark-recapture methods. The book presents the necessary theory but mainly focuses on showing readers how to apply the methods, incorporating many examples and case studies as well as software.


Handbook of Spatial Point-Pattern Analysis in EcologyThorsten WiegandHelmholtz Centre for Environmental Research (UFZ), Leipzig, Germany

Kirk A. MoloneyIowa State University, Ames, USASeries: Chapman & Hall/CRC Applied Environmental Statistics

A guidebook to spatial point-pattern analysis for ecologists, this book provides a comprehensive presentation of the theory behind point-pattern analysis targeted at non-experts. It uses Programita for the analysis of all examples and includes detailed step-by-step instructions of how to perform the analyses within the workbook. It contains case studies, worked examples, focus boxes, a bibliography, and a glossary, along with an executable copy of Programita and all example data sets.


Handbook of Mathematics and Statistics for the EnvironmentFrank R. SpellmanSpellman Environmental Consultants and Old Dominion University, Norfolk, Virginia, USA

Nancy E. WhitingCompliance Manager, HP White Laboratory, Inc., Street, Maryland, USA

A thorough revision of the Environmental Engineer’s Mathematics Handbook, this book emphasizes the relationship between the principles in natural processes and environmental processes. It integrates the fundamental math operations performed by environmental practitioners for air, water, wastewater, solid/hazardous wastes, biosolids, environmental economics, stormwater operations, and environmental health, safety, and welfare. New material includes quadratic equations, Boolean algebra, fundamental fire science, basic electricity for environmental practitioners, and environmental health computations and solutions.


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Analyzing Baseball Data with RMax MarchiEmilia-Romagna Regional Health Agency, Italy

Jim AlbertBowling Green State University, Ohio, USASeries: Chapman & Hall/CRC The R Series

This practical guide provides an accessible introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. All of the datasets and R code used in the text are available online.

Print ISBN: 978-1-4665-7022-1 November 2013, 6-1/8 x 9-1/4, 334 pp., Soft Cover Suggested Price: $39.95 / £25.99

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The Analysis of Time SeriesAn Introduction, Sixth EditionChris ChatfieldUniversity of Bath, UKSeries: Chapman & Hall/CRC Texts in Statistical Science

Now in its sixth edition, this book provides an accessible yet comprehensive introduction to the theory and practice of time series analysis. It covers a wide range of topics, including ARIMA probability models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It also addresses nonlinear, multivariate, and long-memory models. Building on the success of earlier editions, the sixth edition was thoroughly revised and updated, and all of the data sets are available for download online.


Statistical Geoinformatics for Human Environment InterfaceWayne L. Myers and Ganapati P. PatilThe Pennsylvania State University, University Park, USASeries: Chapman & Hall/CRC Applied Environmental Statistics

This book presents two paradigms (localization and multiple indicators) for the spatial analysis of human influences and environmental resources. The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of vicinities centrically referenced. The second approach explores human/environment interface as an abstraction through indicators, neutralizing the common conundrum of how to reconcile disparate spatial structures such as points, lines, and polygons.


Spatial Temporal Information SystemsAn Ontological Approach using STK®

Linda M. McNeilLMM Technologies, Marin Station, Maryland, USA

T.S. KelsoCenter for Space Standards & Innovation, Colorado Springs, Colorado, USA

This book discusses the many applications of space technologies by using mission-proven software for timely and cost-effective development that serves public interests in civil, commercial, academic, national, and international space communities. It explains the dynamics of object interaction from signal analysis to trajectory design, spatial modeling, and other spatial analytics by using the STK® platform, a general-purpose modeling and analysis application for any type of space, defense, or intelligence system.


Spatial Data Analysis in Ecology and Agriculture Using RRichard E. PlantUniversity of California, Davis, USA

This book provides practical instruction on the use of R to analyze spatial data arising from research in ecology and agriculture. The book analyzes ecological and agriculture data sets and provides them online. It guides readers through the analysis of each of these data sets, including setting the research objective, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. All of the R code is also available online.

Print ISBN: 978-1-4398-1913-5 eBook ISBN: 978-1-4398-1914-2 March 2012, 7 x 10, 648 pp. Suggested Price: $89.95 / £57.99

Simulating NatureA Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second EditionArthur C. PetersenPBL Netherlands Environmental Assessment Agency, Bilthoven

Addressing how to manage the science-policy interface, this book presents a philosophical study of the issues surrounding uncertainty in scientific simulation, particularly concerning the role it plays in public policy regarding climate change. The author, who participated in the United Nations’ Intergovernmental Panel on Climate Change (IPCC) plenaries in 2001 and 2007, discusses the assessment reports and workings of the IPCC. This second edition reflects the latest developments in climate change policy.

Print ISBN: 978-1-4665-0062-4 eBook ISBN: 978-1-4665-0067-9 April 2012, 6-1/8 x 9-1/4, 224 pp., Soft Cover Suggested Price: $62.95 / £40.99

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A Gentle Introduction to StataRevised Third EditionAlan C. AcockOregon State University, Corvallis, USA

Updated to reflect the new features of Stata 11, this third edition continues to help new Stata users become proficient in Stata. This edition includes a new chapter on the analysis of missing data and the use of multiple-imputation methods. It also provides an extensive revision of the chapter on ANOVA, along with additional material on the application of power analysis. Each chapter includes exercises, and real data sets are used throughout.


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Essentials of Multivariate Data AnalysisNeil H. SpencerUniversity of Hertfordshire Business School, de Havilland Campus, Hatfield, UK

Instead of providing mathematical details, this text gives readers only the essential information needed to decide which method to use, how to apply it, and how to interpret the results. Each chapter explains how to perform the analysis and how to use the supporting Excel add-in to implement the analysis. A fictional data set is used throughout the book to ensure that all particular aspects of the data analyses can be readily shown. Figure slides are available upon qualifying course adoption.


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Essential StatisticsFourth EditionD.G. ReesOxford Brookes University, UK

An introductory text for a first course in statistics, this fourth edition presents new information on modern statistical techniques, such as ANOVA, and software, such as Minitab. The author writes in his trademark easy-to-follow style and emphasizes the principles and assumptions underlying the statistical methods. Keeping complex mathematical theory to a minimum, he presents a wealth of fully explained, worked examples. End-of-chapter worksheets relate to a variety of fields and illustrate the relevance of the methods to a broad range of disciplines.


Data Analysis Using StataThird EditionUlrich KohlerSocial Science Research Center, Berlin, Germany

Frauke KreuterUniversity of Maryland, College Park, USA

A comprehensive introduction to both statistical methods and Stata, this text helps beginners learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. It also offers tips and tricks for readers already familiar with Stata. Step by step, the book leads readers through the entire process of data analysis. This third edition also explores advanced topics, such as standard errors in complex survey and multiple imputation.

Print ISBN: 978-1-59718-110-5 August 2012, 6 x 9, 497 pp., Soft Cover Suggested Price: $79.95 / £49.99

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The BUGS BookA Practical Introduction to Bayesian AnalysisDavid Lunn, Chris Jackson, Nicky Best, Andrew Thomas, and David SpiegelhalterSeries: Chapman & Hall/CRC Texts in Statistical Science

Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples, covering a wide range of applications from various disciplines. Exercises, solutions, code, and data are available on a supplementary website.

Print ISBN: 978-1-58488-849-9 eBook ISBN: 978-1-58488-850-5 October 2012, 6-1/8 x 9-1/4, 399 pp., Soft Cover Suggested Price: $52.95 / £25.99

The A-Z of Error-Free ResearchPhillip I. GoodConsultant, Huntington Beach, California, USA

This practical book begins with an overview of when—and when not—to use statistics. It guides readers through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. The author then covers techniques for developing models that provide a basis for future research. He also discusses reporting techniques to ensure research efforts get the proper credit. The book concludes with case-control and cohort studies. R code is included to implement the methods.

Print ISBN: 978-1-4398-9737-9 August 2012, 5-1/2 x 8-1/2, 269 pp., Soft Cover Suggested Price: $52.95 / £33.99

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Using R for Introductory StatisticsSecond EditionJohn VerzaniCUNY/College of Staten Island, New York, USASeries: Chapman & Hall/CRC The R Series

Suitable as a primary text or supplement, this best-selling textbook continues to be the choice for learning R as part of an introductory statistics course. This second edition includes new chapters covering particular features of R, including data management, programming, packages, and RStudio. Along with revised and expanded examples and exercises, it also greatly improves the chapter on categorical data and includes a new chapter on permutation tests. A solutions manual and figure slides are available upon qualifying course adoption.


The R Student CompanionBrian DennisUniversity of Idaho, Moscow, USA

This student-oriented manual describes how to use R in college science and mathematics courses. The manual features fully developed exercises based around the main precalculus analysis skills needed in the standard general education courses in science and math. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R on a reference card in the back of the book. Each chapter includes exercises and a set of computational challenges.

Print ISBN: 978-1-4398-7540-7 eBook ISBN: 978-1-4398-7541-4 September 2012, 6-1/8 x 9-1/4, 360 pp., Soft Cover Suggested Price: $41.95 / £26.99

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R for StatisticsPierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jégou, Julie Josse, Maela Kloareg, Eric Matzner-Lober, and Laurent Rouvière

This text explores the use of R for classical statistical analysis. The first half of the book introduces R, data manipulation and visualization, statistical models, graphics, and R programming. The second half presents various statistical analysis techniques by first introducing the data example, then describing the problem to solve, and finally conducting the analysis using R. This example-based approach enables readers to replicate the analyses using their own data. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-8145-3 eBook ISBN: 978-1-4665-1103-3 March 2012, 6-1/8 x 9-1/4, 320 pp., Soft Cover Suggested Price: $62.95 / £36.99

Paradoxes in Scientific InferenceMark ChangAMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA

The paradoxology of scientific inference refers to the study of the nature of scientific inference and evidence through controversies or, more precisely, paradoxes. This book analyzes paradoxes from many different perspectives, such as statistics, mathematics, philosophy, science, and artificial intelligence. It compares various quantitative methods of evidence measures, including frequentist hypothesis testing, likelihood, and Bayesian methods. The text elaborates on recent findings to reach new and exciting conclusions.

Print ISBN: 978-1-4665-0986-3 eBook ISBN: 978-1-4665-0987-0 October 2012, 6-1/8 x 9-1/4, 291 pp., Soft Cover Suggested Price: $41.95 / £26.99

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Multivariate Statistical MethodsA Primer, Third EditionBryan F.J. ManlyWestern EcoSystem Technology, Inc., Laramie, Wyoming, USA

The third edition of this bestseller retains the author’s clear, concise style and focus on examples in the biological and environmental sciences. It covers multivariate analysis, matrix algebra, displaying multivariate data, and tests of significance with multivariate data. The book also explores measuring and testing multivariate distances; principal components and analysis; factor, discriminant function, cluster, and canonical correlation analysis; and multidimensional scaling and ordination. The appendix compares various statistical software packages, such as Stata, Statistica, SAS, and Genstat.


Introduction to Time Series Using StataSean Becketti

This introduction provides a step-by-step guide to essential time series techniques—from the incredibly simple to the quite complex. At the same time, it demonstrates how these techniques can be applied in the Stata statistical package. Emphasis is on understanding the intuition underlying theoretical innovations and the ability to apply them. Real-world examples illustrate the application of each concept. The author highlights the pitfalls and power of each tool.

Print ISBN: 978-1-59718-132-7 January 2013, 7-1/4 x 9-1/4, 741 pp., Soft Cover Suggested Price: $79.95 / £49.99

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Statistical Methods with Applications to Demography and Life InsuranceEstáte V. KhmaladzeVictoria University of Wellington, New Zealand

This work presents contemporary statistical techniques for analyzing life distributions and life insurance problems. It mainly focuses on the analysis of an individual life and describes statistical methods based on empirical and related processes. The text not only contains traditional material but also incorporates new problems and techniques not discussed in existing actuarial literature. Coverage ranges from analyzing the tails of distributions of lifetimes to modeling population dynamics with migrations.


SoccermetricsScience of Soccer StatisticsJan VecerColumbia University, New York, New York, USA

This book covers pricing and hedging football/soccer betting contracts using the modern techniques of probability, statistics, finance, and portfolio management. It addresses the probabilistic intuition needed in the more complex world of football betting. The author presents an innovative perspective by thinking about betting odds in terms of the expected number of goals of both teams. In addition, when the betting market is in play, the book treats betting before the game and during the game separately.


Reliability Models for Engineers and ScientistsMark P. KaminskiyNASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Requiring no special mathematical background, this book offers a concise guide to basic reliability concepts and models. It is suitable for reliability engineering students as well as for those who need a supplement on applied survival data analysis. The models discussed in the book are used in reliability, risk analysis, physics of failure, fracture mechanics, biological, pharmaceutical, and medical studies. The book also introduces a new concept of the Gini-type index.


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Probability and Statistics with RMaria Dolores Ugarte and Ana F. MilitinoPublic University of Navarre, Pamplona, Spain

Alan T. ArnholtAppalachian State University, Boone, North Carolina, USA

With numerous real-world examples, carefully explained proofs, end-of-chapter problems, and illuminating graphs, this text shows how to solve various statistical problems using both parametric and nonparametric techniques via R. It includes the R and S-PLUS commands and explains the mathematics behind computational implementations. The authors cover traditional methods and nonparametric techniques. They also offer data sets, functions, and other ancillary material on a supporting website. A solutions manual is available upon qualifying course adoption.


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Introduction to Stochastic ProcessesSecond EditionGregory F. LawlerUniversity of Chicago, Illinois, USASeries: Chapman & Hall/CRC Probability

Focusing on mathematical ideas rather than proofs, this book presents important fundamentals of stochastic processes. This second edition features more material on stochastic integration, with expanded discussion of Girsanov transformation, an introduction to the Feynman-Kac formula, and an exposition on the Black-Scholes formula with applications from mathematical finance. This edition also includes new and expanded topics, such as Doob’s maximal and self-similarity.


A Visual Guide to Stata GraphicsThird EditionMichael N. MitchellUCLA Academic Technology Services Consulting Group, Los Angeles, California, USA

With over 900 illustrated examples and quick-reference tabs, this book quickly guides readers to the information needed for creating and customizing high-quality graphs for any type of statistical data. Each graph is displayed in color with simple and clear instructions that illustrate how to create and customize graphs using either Stata commands or the Stata Graph Editor. Stata’s powerful graphics system gives readers complete control over how the elements of their graphs look.

Print ISBN: 978-1-59718-106-8 January 2012, 7 1/4 x 9 1/4, 499 pp., Soft Cover Suggested Price: $89.95 / £57.99

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Essential Statistical Concepts for the Quality ProfessionalD.H. StamatisANHUI University of Finance and Economics, Bengbu, China

The essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This book offers a nontechnical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies as well as tools for the future. It examines the fundamentals of statistical understanding and shows why statistical use is important in the decision-making process.


Equivalence and Noninferiority Tests for Quality, Manufacturing and Test EngineersScott PardoBayer Diabetes Care, Tarrytown, New York, USA

This book presents methods for using validation and verification test data to demonstrate equivalence and noninferiority in engineering and applied science. It covers numerous tests drawn from the author’s more than 30 years of work in a range of industrial settings. The book provides computational formulas for the tests, methods to determine or justify sample sizes, and formulas to calculate power and operating characteristic curves. The methods are accessible using standard statistical software and do not require complicated programming.


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Applied ReliabilityThird EditionPaul A. TobiasRetired, Austin, Texas, USA

David C. TrindadeBloom Energy, California, USA

This easy-to-use guide addresses basic descriptive statistics, reliability concepts, exponential distribution, Weibull distribution, and lognormal distribution. It also covers reliability data plotting, acceleration models, life test data analysis and systems models, and much more. This edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling. The book provides detailed illustrations of software implementation using several widely available software packages, with software and other files available online. Figure slides are available upon qualifying course adoption.


Understanding Probability Theory and ProblemsMridul NandiIndian Statistical Institute, Kolkata

This book enables a solid understanding of probability theory. Through challenging worked-out problems, the book shows how to formulate common probability problems and helps readers understand how to tackle these problems using various methods and results. By going through the solutions and methods, readers will improve their problem-solving skills. The book also provides some advanced topics in probability theory and its applications.


Stochastic FlowsAndrey Dorogovtsev

A stochastic flow is a mathematical model used to simulate a system of interacting particles in random media. This book synthesizes the many recent developments in methodology and applications. The methods are important for applications, particularly in physics and engineering. The book also covers stochastic flows with singular interaction, which are not covered in great detail in other books.


Statistical Techniques for Project ControlAdedeji B. BadiruAir Force Institute of Technology, Wright-Patterson AFB, Ohio, USA

Tina AgustiadyBASF–The Chemical Company, Ohio, USASeries: Industrial Innovation

Whether a project is simple or complex, proven project management processes must be followed. In all cases of project management implementation, control must be exercised to assure that project objectives are achieved. This book fills the void that exists in the application of statistical techniques to project control. Although designed as a practical guide for project management professionals, the book will also benefit students, researchers, and instructors.


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Computational Intelligent Data Analysis for Sustainable DevelopmentEdited by

Ting YuUniversity of Sydney, Australia

Nitesh ChawlaUniversity of Notre Dame, Indiana, USA

Simeon SimoffUniversity of Western Sydney, AustraliaSeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. This volume presents novel methodologies for automatically processing these types of data to support rational decision making for sustainable development. Through numerous case studies and applications, it illustrates important data analysis methods for quantifying and describing sustainable development problems.


Computational Business AnalyticsSubrata DasMachine Analytics, Inc., Belmont, Massachusetts, USASeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

This book describes modeling techniques and computational algorithms for descriptive and predictive analytics and associated decision support. It shows how numerical statistical techniques can be augmented or enriched with techniques from symbolic AI, machine learning, data mining, and control theory for enhanced descriptive, redictive, and prescriptive analytics. The book covers both traditional probabilistic/statistical and cutting-edge AI and machine learning approaches. It emphasizes modeling problems that are time-dependent and covers useful applications, including information structuring and sentiment analysis.


Bayesian ProgrammingPierre Bessière, Emmanuel Mazer, Juan-Manuel Ahuactzin, and Kamel Mekhnacha

To create a complete computing Bayesian framework, a new modeling methodology is needed to build probabilistic models; new inference algorithms are required to automate probabilistic calculus; new programming languages are sought to implement these models on computers; and eventually, new hardware will be necessary to run these Bayesian programs efficiently. This book describes the first steps toward the ultimate goal of creating a Bayesian computer. It presents applications from various areas, such as robotics, and requires only basic knowledge of mathematics, making it accessible to nonexperts.


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Reliability Engineering and Risk AnalysisA Practical Guide, Second EditionMohammad Modarres and Mark KaminskiyUniversity of Maryland, College Park, USA

Vasiliy KrivtsovFord Motor Company, Dearborn, Michigan, USA

This text provides a practical and comprehensive overview of reliability and risk analysis techniques. This second edition features more topics, including generalized renewal with applications, detailed Bayesian estimation methods, and estimation of bounds of repairable unit reliability and availability. With numerous illustrative examples, this edition also expands discussions on the models for physics of failure type probabilistic life estimation and uncertainty analysis and presents elementary risk analysis techniques. A solutions manual is available upon qualifying course adoption.


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Introduction to Statistical Process ControlPeihua QiuUniversity of Florida, Gainesville, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, this book describes many recent SPC methods that improve upon the more established techniques. The author shows how these methods can handle new applications. Pseudo codes are presented for important methods and all R functions and datasets are available on the author’s website. Figure slides are available upon qualifying course adoption.


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A First Course in Quality EngineeringIntegrating Statistical and Management Methods of Quality, Second EditionK.S. KrishnamoorthiBradley University, Peoria, Illinois, USA

V. Ram KrishnamoorthiLoyola University Chicago, Stritch School of Medicine, Illinois, USA

This text covers both management and statistical methods of quality engineering in an integrative manner. Suitable for candidates preparing for the certified quality engineer (CQE) exam, this edition reflects the changes in the revision of the ISO 9000 Standards and the Baldrige Award criteria. Along with new mini-projects and examples, it includes more coverage of strategic planning and incorporates Lean methods for reducing cycle time, increasing throughput, and reducing waste. A solutions manual and figure slides are available upon qualifying course adoption.


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Ensemble MethodsFoundations and AlgorithmsZhi-Hua ZhouNanjing University, China

This self-contained introduction shows how ensemble methods are used in real-world tasks. It first presents background and terminology for readers unfamiliar with machine learning and pattern recognition. The book then covers the main algorithms and theories. Moving on to more advanced topics, the author explains details behind ensemble pruning and clustering ensembles. He also describes developments in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.


Data Mining with RLearning with Case StudiesLuis TorgoUniversity of Porto, PortugalSeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. A supporting website provides data sets and R code.


Data Mining for BioinformaticsSumeet Dua and Pradeep ChowriappaLouisiana Tech University, Ruston, USA

This book enables researchers to meet the challenge of mining vast amounts of biomolecular data to discover real knowledge. Covering data mining theory, algorithms, methodologies, and technologies, it presents a thorough discussion of data-intensive computations used in data mining applied to bioinformatics. The book explains data mining design concepts to build applications and systems. Showing how to prepare raw data for the mining process, the text is filled with heuristics that speed up the data mining process.


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Data MiningTheories, Algorithms, and ExamplesNong YeSeries: Human Factors and Ergonomics

This text explains a comprehensive set of data mining techniques from various data mining fields. Concepts and methodologies are illustrated through numerous examples of data mining applications in cyber attack detection, discovery of neuronal population dynamics, and manufacturing quality control. Other topics include methodologies for mining classification and prediction patterns, mining clustering, and mining data reduction patterns and sequential and time series patterns. A solutions manual and figure slides are available upon qualifying course adoption.


Data ClusteringAlgorithms and ApplicationsEdited by

Charu C. AggarwalIBM T.J. Watson Research Center, Yorktown Heights, New York, USA

Chandan K. ReddyWayne State University, Detroit, Michigan, USASeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

In this book, top researchers from around the world cover the entire area of clustering, from basic methods to more refined and complex data clustering approaches. They pay special attention to recent issues in graphs, social networks, and other domains. The book explores the characteristics of clustering problems in a variety of application areas. It also explains how to glean detailed insight from the clustering process through supervision, human intervention, or the automated generation of alternative clusters.


Contrast Data MiningConcepts, Algorithms, and ApplicationsEdited by

Guozhu DongWright State University, Dayton, Ohio, USA

James BaileyThe University of Melbourne, Victoria, AustraliaSeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

This work collects recent results from this specialized area of data mining that have previously been scattered in the literature. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical, and business domains. It examines how contrast mining is used in discriminative gene transfer and microarray analysis, computational toxicology, spatial and image data classification, network security, and many more applications.


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Introduction to Semi-Supervised LearningZenglin Xu and Irwin KingThe Chinese University of Hong Kong, Shatin

This book outlines a systematic framework for implementing semi-supervised learning methods. It includes the historical background and recent advances in the field as well as theoretical perspectives and real-world applications. The book presents illustrations and examples of each semi-supervised learning algorithm. It covers supervised unsupervised learning, semi-supervised learning, and other relevant learning tasks. It also discusses important semi-supervised learning models, including generative models for semi-supervised learning, semi-supervised support vector machines, and graph-based semi-supervised learning methods.


Getting Started with Business AnalyticsInsightful Decision-Making David Roi HardoonGalit ShmueliIndian School of Business, Hyderabad

This self-contained guide helps readers make sound decisions based on hard data and shows how to deploy business analytics solutions in organizations. It provides an integrated framework of data mining in business analytics. It explores the contents, capabilities, and applications of business analytics without assuming any prior knowledge or technical skills. The authors describe business analytics from a noncommercial standpoint, demystify the main concepts and terminologies, and give many examples of real-world applications.


Foundations of Predictive AnalyticsJames Wu and Stephen CoggeshallID Analytics, San Diego, California, USASeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Drawing on the authors’ two decades of experience in applied modeling and data mining, this self-contained book presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas. It explains the algorithmic details behind each technique and discusses a variety of practical topics that are frequently missing from similar texts. Software and examples are available online.


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A First Course in Machine LearningSimon RogersUniversity of Glasgow, Scotland, UK

Mark GirolamiUniversity College London, UK

Requiring minimal mathematical prerequisites, this classroom-tested text covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The MATLAB®/Octave scripts available online enable readers to recreate plots that appear in the book and investigate changing model specifications and parameter values. By experimenting with the various algorithms and concepts, readers see how an abstract set of equations can be used to solve real problems. A solutions manual and figure slides are available upon qualifying course adoption.


Exploratory Data Analysis with MATLAB®

Second EditionWendy L. MartinezU.S. Bureau of Labor Statistics, Fredericksburg, Virginia, USA

Angel MartinezStrayer University, Fredericksburg, Virginia, USA

Jeffrey SolkaU.S. Department of the Navy, Dahlgren, Virginia, USASeries: Chapman & Hall/CRC Computer Science & Data Analysis

Like its best-selling predecessor, this second edition continues to use numerous examples and applications to show how EDA methods are used in practice. This edition covers many innovative approaches for dimensionality reduction, clustering, and visualization, including nonnegative matrix factorization, smoothing splines, probabilistic latent semantic analysis, spectral-based clustering, a rangefinder boxplot, scatterplots with marginal histograms, biplots, and Andrews’ images method. MATLAB® codes are available for download on the book’s website.


Event MiningTheory, Algorithms, and ApplicationsEdited by

Tao LiFlorida International University, Miami, USA

Chang-Shing PerngIBM T.J. Watson Research Center, Yorktown Heights, New York, USA

This book presents a variety of approaches and applications for using data mining and machine learning techniques in the context of event mining. It offers an introductory overview on recent developments and discusses the challenges and common tasks that need to be addressed in practical applications. The book extensively covers complex event processing, event mining and summarization, and applications in ITIL event management, intelligent cloud management, health care, and smart homes.


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Support Vector MachinesOptimization Based Theory, Algorithms, and ExtensionsNaiyang DengChina Agricultural University, Beijing

Yingjie TianChinese Academy of Sciences, Beijing

Chunhua ZhangRenmin University of China, BeijingSeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment of the two main components of SVMs—classification problems and regression problems. The authors emphasize the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. They construct SVMs for semi-supervised, knowledge-based, and robust classification problems.

Print ISBN: 978-1-4398-5792-2 eBook ISBN: 978-1-4398-5793-9 December 2012, 6-1/8 x 9-1/4, 363 pp.


Statistical Reinforcement LearningModern Machine Learning ApproachesMasashi Sugiyama and Hirotaka HachiyaTokyo Institute of Technology, Japan

Tetsuro MorimuraIBM Research, Kanagua, Japan

Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Providing an accessible introduction to the field, this book covers model-based and model-free approaches, policy iteration, and policy search methods. It presents illustrative examples and state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RLm. The book provides a bridge between RL and data mining and machine learning research.


Statistical Methods for the Study of Undeciphered LanquagesRonojoy Adhikari

This book presents an overview of the state of the art in the application of unsupervised algorithms to the study of undeciphered scripts. It shows how these algorithms can be applied to the Indus script, which is a major undeciphered script of the ancient world. The author explains how modern pattern recognition and search techniques implemented on the digital computer can considerably reduce human effort in uncovering patterns and syntax in undeciphered scripts.


RapidMinerData Mining Use Cases and Business Analytics ApplicationsEdited by

Markus HofmannInstitute of Technology Blanchardstown, Dublin, Ireland

Ralf KlinkenbergRapid-I, Dortmund, GermanySeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Written by leaders in the data mining community, including the developers of the RapidMiner software, this book provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The book and software tools cover all relevant steps of the data mining process. The software and their extensions can be freely downloaded online.


Practical Graph Mining with REdited by

Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, and Arpan ChakrabortySeries: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Assuming no prior knowledge of mathematics or data mining, this self-contained book presents a “do-it-yourself” approach to extracting interesting patterns from graph data. Each chapter focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through many applications, the book demonstrates how computational techniques can help solve real-world problems. Every algorithm and example is accompanied with R code. A solutions manual is available upon qualifying course adoption.


Multi-Label Dimensionality ReductionJieping Ye, Shuiwang Ji, and Liang SunArizona State University, Tempe, USA

This book presents in-depth, systematic discussions on algorithms and applications for dimensionality reduction. It covers emerging models for general dimensionality reduction in multi-label classification. The book also presents a novel framework to unify a variety of models. The authors provide thorough analysis and comparison of the algorithms used in these models. They also include applications of the models and algorithms in bioinformatics and biomedical informatics. A supporting website provides updated information.


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Approximating DataPatrick Laurie DaviesUniversity of Duisburg-Essen, GermanySeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book is a philosophical study of statistics via the concept of data approximation. The book shows how the models are, at best, an approximation of real data and any analysis must take this into account. The approach is therefore closely related to robust statistics and nonparametric statistics and can be used to study nearly any statistical technique. The last chapter presents an interesting discussion of the frequentist versus Bayesian debate in statistics.


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Applied Nonparametric Statistical MethodsFourth EditionPeter SprentDundee University, Scotland, UK

Nigel C. SmeetonGuy’s King & St. Thomas School of Medicine, London, UKSeries: Chapman & Hall/CRC Texts in Statistical Science

This fourth edition summarizes relevant general statistical concepts and introduces basic ideas of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire chapter. The book also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important modern developments. With numerous exercises, the text offers the student edition of StatXact at a discounted price. A solutions manual is available upon qualifying course adoption.


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Applied Categorical and Count Data AnalysisWan Tang, Hua He, and Xin M. TuUniversity of Rochester, New York, USASeries: Chapman & Hall/CRC Texts in Statistical Science

This self-contained text explains how to perform the statistical analysis of discrete data. It covers classic concepts and popular topics, such as contingency tables, logistic models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. R, SAS, SPSS, and Stata programming codes are provided for all the examples. Figure slides are available upon qualifying course adoption.


Analysis of Variance for Functional DataJin-Ting ZhangNational University of SingaporeSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This self-contained book presents up-to-date hypothesis testing methods for functional data analysis. It gives both a theoretical and applied treatment of functional data analysis supported by easy-to-use MATLAB® code. The book covers the reconstruction of functional observations, functional ANOVA, functional linear models with functional responses, ill-conditioned functional linear models, diagnostics of functional observations, heteroscedastic ANOVA for functional data, and testing equality of covariance functions. Data sets and MATLAB are available on the author’s website.


Analysis of Mixed DataMethods & ApplicationsEdited by

Alexander R. de LeonUniversity of Calgary, Alberta, Canada

Keumhee Carrière ChoughUniversity of Alberta, Edmonton, Canada

This work offers a complete, up-to-date introduction to and summary of the fundamental advances and developments in the field. It presents modern methods and extensively uses case studies to illustrate interesting applications from economics, medicine, health care, marketing, and genetics. All chapters include illustrative examples, many drawn from real-life case studies. To facilitate self-study, ample cross-references between chapters enable readers to connect the book’s various topics and research strands.


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Analysis of Categorical Data with RChristopher R. BilderUniversity of Nebraska, Lincoln, USA

Thomas M. LoughinSimon Fraser University, Surrey, British Columbia, CanadaSeries: Chapman & Hall/CRC Texts in Statistical Science

This book presents a modern introduction to categorical data analysis, with R integrated into the text as a data analysis method and learning tool. The book includes many exercises and detailed worked examples to illustrate methods and provides the R code and data online. Unlike other books on the subject, this one covers topics such as missing data and Bayesian methods. A solutions manual and figure slides are available upon qualifying course adoption.


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Confidence Intervals for Proportions and Related Measures of Effect SizeRobert G. NewcombeCardiff University, Wales, UKSeries: Chapman & Hall/CRC Biostatistics

This book illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. It provides readers with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Requiring little computational skills, the book offers user-friendly Excel spreadsheets for download on the book’s CRC Press web page, enabling readers to easily apply the methods to their own empirical data.


Classification and Regression TreesLeo Breiman, Jerome Friedman, Charles J. Stone, and R.A. Olshen

This book focuses on the methodology used to construct tree-structured rules. Unlike many other statistical procedures, which moved from pencil and paper to calculators, the use of trees was unthinkable before computers. The book looks at both the practical and theoretical sides of tree methods. It covers the use of trees as a data analysis method and, in a more mathematical framework, proves some of their fundamental properties.

Print ISBN: 978-0-412-04841-8 January 1984, 6-1/8 x 9-1/4, 368 pp., Soft Cover Suggested Price: $104.95 / £65.99

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Bayesian Methods for Data AnalysisThird EditionBradley P. CarlinUniversity of Minnesota, Minneapolis, USA

Thomas A. LouisJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Broadening its scope to nonstatisticians, this edition concentrates more on hierarchical Bayesian modeling as implemented via MCMC methods and related data analytic techniques. It contains an introduction to hierarchical statistical modeling, a new chapter on Bayesian design that emphasizes Bayesian clinical trials, a completely revised and expanded section on ranking and histogram estimation, and a new case study on infectious disease modeling and the 1918 flu epidemic. This edition also includes new data examples, corresponding R and WinBUGS code, and exercises. A solutions manual is available upon qualifying course adoption.


Bayesian Inference for Partially Identified ModelsExploring the Limits of Limited DataPaul GustafsonUniversity of British Columbia, Vancouver, CanadaSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Many observational studies in epidemiology and other disciplines face inherent limitations in study design and data quality, such as selection bias, unobserved variables, and poorly measured variables. This book presents an overview of Bayesian inference in partially identified models. It includes many examples to illustrate the methods and provides R code for their implementation on the book’s website. The author also addresses a number of open questions to stimulate further research in this area.


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Bayesian Ideas and Data AnalysisAn Introduction for Scientists and StatisticiansRonald Christensen, Wesley Johnson, Adam Branscum, and Timothy E. HansonSeries: Chapman & Hall/CRC Texts in Statistical Science

Emphasizing the use of WinBUGS and R to analyze real data, this text highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The authors cover a large number of statistical models, explore numerical approximations via MCMC simulation, and include numerous exercises and real-world examples. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. Code and other materials are available on the book’s website. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-0354-7 eBook ISBN: 978-1-4398-0355-4 July 2010, 7 x 10, 516 pp. Suggested Price: $75.95 / £51.99

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Bayesian Data AnalysisThird EditionAndrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. RubinSeries: Chapman & Hall/CRC Texts in Statistical Science

Along with new and revised software code, the third edition of this classic text includes four new chapters on nonparametric modeling, updates the discussion of cross-validation and predictive information criteria, and improves convergence monitoring and effective sample size calculations for iterative simulation. It also covers weakly informative priors, boundary-avoiding priors, Hamiltonian Monte Carlo, variational Bayes, and expectation propagation. Data sets and other materials are available online. Figure slides are available upon qualifying course adoption.


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Exercises and Solutions in Statistical TheoryLawrence L. KupperUniversity of North Carolina, Chapel Hill, USA

Brian H. Neelon and Sean M. O’BrienDuke University Medical Center, Durham, North Carolina, USASeries: Chapman & Hall/CRC Texts in Statistical Science

This book helps readers obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this one incorporates many exercises that apply to real-world settings and provides much more thorough solutions. The exercises and selected detailed solutions cover from basic probability theory through to the theory of statistical inference. A solutions manual and figure slides are available upon qualifying course adoption.


Dynamic Documents with R and knitrYihui XieIowa State University, Ames, USASeries: Chapman & Hall/CRC The R Series

This book shows how to write reports ranging from homework, projects, exams, books, blogs, and web pages to any documents related to statistical graphics, computing, and data analysis. While familiarity with LaTeX and HTML is helpful, the book requires no prior experience with advanced programs or languages. For beginners, the text provides enough features to get started on basic applications. For advanced users, the last several chapters enable an understanding of the extensibility of the knitr package.


Discovering Structural Equation Modeling Using Stata 13Revised EditionAlan C. AcockOregon State University, Corvallis, USA

This practical guide explores all the features of Stata’s sem command. This revised edition includes output, syntax, and instructions for fitting models with the Stata 13 SEM Builder. It shows how this graphical interface allows users to draw publication-quality path diagrams and fit the models without writing any programming code. Each model is presented along with the necessary Stata code. The datasets used are available for download online.

Print ISBN: 978-1-59718-139-6 September 2013, 7-1/2 x 9-1/4, 306 pp., Soft Cover Suggested Price: $79.95 / £49.99

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Design and Analysis of Experiments with SASJohn LawsonBrigham Young University, Provo, Utah, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Using SAS 9.2 to illustrate the construction of experimental designs and analysis of data, this text presents many applications from the pharmaceutical, agricultural, industrial chemicals, and machinery industries. It covers both classical ideas in experimental design and research topics. The text discusses choosing and creating an appropriate design, performing experiments, and interpreting computer data analysis results. SAS code and ancillaries are available on the author’s website. A solutions manual is available upon qualifying course adoption.


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Design and Analysis of Experiments with RJohn LawsonBrigham Young University, Provo, Utah, USASeries: Chapman & Hall/CRC Texts in Statistical Science

This is one of the first texts to use R to illustrate the construction of experimental designs and analysis of data. The book clearly discusses the objectives of a research project that leads to an appropriate design choice, the practical aspects of creating a design and performing experiments, and the interpretation of the results of computer data analysis. It also includes many applications from the pharmaceutical, agricultural, industrial chemicals, and machinery industries. Figure slides are available upon qualifying course adoption.


Constrained Principal Component Analysis and Related TechniquesYoshio TakaneProfessor Emeritus, McGill University, Montreal, Quebec, and Adjunct Professor, University of Victoria, British Columbia, CanadaSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Despite the introduction of constrained principal component analysis (CPCA) over 20 years ago, there is no single resource that examines its ramifications, extensions, implementations, and applications. This book provides a systematic, in-depth account of the mathematical underpinnings, special cases, related topics, interesting applications, and implementation details. The author explains how CPCA first decomposes the data matrix according to the external information (external analysis) and then applies PCA to decomposed matrices (internal analysis).


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Generalized Linear ModelsSecond EditionP. McCullaghUniversity of Chicago, Illinois, USA

J.A. NelderImperial College, London, UKSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This bestseller remains popular today for its clarity, richness of content, and direct relevance to agricultural, biological, health, engineering, and other applications. It provides a definitive and unified treatment of methods for the analysis of diverse types of data. The authors examine the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. The text includes worked examples, plentiful exercises, and topics of direct use to students and researchers in many disciplines.


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Generalized Linear Mixed ModelsModern Concepts, Methods and ApplicationsWalter W. StroupUniversity of Nebraska, Lincoln, USASeries: Chapman & Hall/CRC Texts in Statistical Science

With numerous examples using SAS® PROC GLIMMIX, this text presents an introduction to linear modeling using the GLMM as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Data for all exercises and SAS files for all examples are available on the book’s CRC Press web page.


Generalized Estimating EquationsSecond EditionJames W. HardinUniversity of South Carolina, Columbia, USA

Joseph M. HilbeCalifornia Institute of Technology, Pasadena, and Arizona State University, Tempe, USA

This second edition of a bestseller incorporates comments and suggestions from a variety of sources, including the Statistics.com course on longitudinal and panel models taught by the authors. Along with doubling the number of end-of-chapter exercises, this edition offers more thorough coverage of hypothesis testing and diagnostics, expands discussion of various models associated with GEE, and provides a new presentation of model selection procedures. The book includes numerous examples and software code used to create, run, and evaluate the models.


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Generalized Additive ModelsAn Introduction with RSimon N. WoodUniversity of Bath, UKSeries: Chapman & Hall/CRC Texts in Statistical Science

This text imparts a thorough understanding of the theory and practical applications of generalized additive models and related advanced models. The author’s approach is based on a framework of penalized regression splines. He builds the necessary foundation through motivating chapters on linear and generalized linear models. Use of R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models as well as their mixed effect extensions. An R package containing the datasets is available online.


Flexible Imputation of Missing DataStef van BuurenTNO Quality of Life, Leiden, The NetherlandsSeries: Chapman & Hall/CRC Interdisciplinary Statistics

This practical guide provides a flexible and accessible framework for multiple imputation along with strategies for obtaining effective solutions to these problems. The text is supported by many examples using real data taken from the author’s vast research involving missing data. All of the analyses can be replicated in R using the dedicated package MICE, which was developed by the author. Topics covered include multiple imputation, multivariate and univariate missing data, as well as issues of measurement, selection, and longitudinal data.


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Extending the Linear Model with RGeneralized Linear, Mixed Effects and Nonparametric Regression ModelsJulian J. FarawayUniversity of Bath, UKSeries: Chapman & Hall/CRC Texts in Statistical Science

Linear models form the foundation of a vast range of statistical methodologies. This text surveys the techniques that grow from the regression model, presenting three extensions to that framework: generalized linear models, mixed effect models, and nonparametric regression models. It provides a well-stocked toolbox of modern methodologies and holds the potential to break new ground in the way graduate-level courses are taught in this area.


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Handbook of Spatial StatisticsEdited by

Alan E. Gelfand, Peter J. Diggle, Montserrat Fuentes, and Peter GuttorpSeries: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Based on the work of prominent researchers, this handbook provides broad, thorough coverage of this vibrant area, from historical to contemporary topics. It explores the modeling advances, computational approaches, and methodology that have emerged in recent years. The book focuses on continuous and discrete spatial variation, spatial point patterns, and spatio-temporal processes. It also covers multivariate spatial process models, spatial aggregation, spatial misalignment, and spatial gradients. Many real-world data examples illustrate the theory and applications.


Handbook of Parametric and Nonparametric Statistical ProceduresFifth EditionDavid J. SheskinWestern Connecticut State University, Danbury, USA

Unsurpassed in accessibility, practicality, and scope, the fifth edition of this classic handbook provides in-depth coverage of more than 160 statistical procedures as well as theoretical and practical statistical topics. Including two new chapters on statistical modeling, this edition contains substantial new material on statistical quality control, meta-analysis, and time series analysis. Each chapter presents at least one example of how to compute a statistical test and offers decision tables to help determine the appropriate test.


Handbook of Mixed Membership Models and Their ApplicationsEdited by

Edoardo M. Airoldi, David Blei, Elena A. Erosheva, and Stephen E. FienbergSeries: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Unlike classical mixture models that are limited by the assumption that each object or individual belongs to only one mixture component, mixed membership models handle various data structures and multivariate data of mixed types, including longitudinal, sparse, and relational data structures. A compilation of peer-reviewed articles from researchers in genetics and computer science, this volume examines the characteristics of mixed membership distribution. It gives a fresh take on cluster and classical modeling with a focus on posterior membership probabilities.


Handbook of Missing Data MethodologyGeert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, and Geert VerbekeSeries: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Written by a team of leading researchers in the field, this handbook presents a comprehensive overview of the state of the art in the theory and applications of missing data analysis. It covers historical developments, Bayesian and likelihood methods, semiparametric methods, multiple imputation, sensitivity analysis, and other special topics. Accessible to graduate students and researchers, each chapter provides sufficient background material, worked examples, case studies, and software, where applicable.


Handbook of Markov Chain Monte CarloEdited by

Steve Brooks, Andrew Gelman, Galin L. Jones, and Xiao-Li MengSeries: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

This handbook brings together the major advances that have occurred in recent years while incorporating enough introductory material for new users of MCMC. Along with thorough coverage of the theoretical foundations and algorithmic and computational methodology, this book includes substantial realistic case studies from a variety of disciplines. These case studies demonstrate the application of MCMC methods and serve as a series of templates for the construction, implementation, and choice of MCMC methodology. Figure slides are available upon qualifying course adoption.


Generalized Linear Models and ExtensionsThird EditionJames W. HardinUniversity of South Carolina, Columbia, USA

Joseph M. HilbeCalifornia Institute of Technology, Pasadena, and Arizona State University, Tempe, USA

This book presents a thorough examination of GLM estimation methods as well as the derivation of all major GLM families, including Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models that have been developed on the basis of GLM theory, including GAM, quasi-likelihood models, fixed and random effects models, and random intercept and random parameter models. Using Stata, the book offers numerous examples to assist readers in applying the models to their own data situations.


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Linear Models with RJulian J. FarawayUniversity of Bath, UKSeries: Chapman & Hall/CRC Texts in Statistical Science

This is the first text that directly uses R to teach data analysis. It demonstrates the different methods available and in which situations each one applies. The book covers the basics of estimation, missing data, factorial designs, and block designs. It also discusses topics rarely addressed in books of this type, such as model uncertainty. Examples clarify both the use of each technique and the conclusions one can draw from the results. All of the data sets are available for download online.


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Linear Algebra and Matrix Analysis for StatisticsSudipto BanerjeeUniversity of Minnesota, Minneapolis, USA

Anindya RoyUniversity of Maryland Baltimore County, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Using a vector-space approach, this book provides an understanding of the major concepts that underlie linear algebra and matrix analysis. Each chapter introduces a key topic, such as infinite-dimensional spaces, and provides illustrative examples. The authors examine recent developments in diverse fields, such as spatial statistics, machine learning, data mining, and social network analysis. Accessible to students without prior knowledge of linear algebra, the text also includes results that are useful for traditional statistical applications. Figure slides are available upon qualifying course adoption.


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An Introduction to Generalized Linear ModelsThird EditionAnnette J. DobsonUniversity of Queensland, Herston, Australia

Adrian G. BarnettQueensland University of Technology, Kelvin Grove, AustraliaSeries: Chapman & Hall/CRC Texts in Statistical Science

Updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis, this new edition of a bestseller continues to provide a cohesive framework for statistical modeling. Emphasizing numerical and graphical methods, it enables readers to understand the unifying structure that underpins GLMs. The text discusses common concepts and principles of advanced GLMs. It contains numerous examples from business, medicine, engineering, and the social sciences and offers the data sets and solutions to the exercises online.

Print ISBN: 978-1-58488-950-2 eBook ISBN: 978-1-4398-8919-0 May 2008, 6-1/8 x 9-1/4, 320 pp., Soft Cover Suggested Price: $71.95 / £43.99

An Introduction to the BootstrapBradley Efron and Robert J. TibshiraniStanford University, California, USASeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This introduction arms scientists, engineers, and statisticians with the computational techniques needed to analyze and understand complicated data sets. The bootstrap is a computer-based method of statistical inference that answers statistical questions without formulas and gives a direct appreciation of variance, bias, coverage, and other probabilistic phenomena. This book presents an overview of the bootstrap and related methods for assessing statistical accuracy, concentrating on the ideas rather than their mathematical justification.


Interpreting and Visualizing Regression Models Using StataMichael N. MitchellUCLA Academic Technology Services Consulting Group, Los Angeles, California, USA

This book provides a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is suitable for anyone who has to present the tangible meaning of a complex model in a clear fashion regardless of the audience. For example, experienced researchers are often uncomfortable when asked to give a simple explanation of the applied meaning of interactions in nonlinear models, such as logistic regression. The tools in this book make this task much more enjoyable and comprehensible.

Print ISBN: 978-1-59718-107-5 April 2012, 6 x 9, 558 pp., Soft Cover Suggested Price: $79.95 / £49.99

Hidden Markov Models for Time SeriesAn Introduction Using RWalter ZucchiniUniversity of Gottingen, Germany

Iain L. MacDonaldUniversity of Cape Town, South AfricaSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It presents an accessible overview of HMMs for analyzing time series data and explores a variety of applications in animal behavior, finance, epidemiology, climatology, and sociology. The authors discuss how to employ R to carry out computations for parameter estimation, model selection and checking, decoding, and forecasting. They provide all of the data sets analyzed in the text online.


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Methodology in Robust and Nonparametric StatisticsJana JureckováCharles University, Prague, Czech Republic

Pranab Kumar SenUniversity of North Carolina, Chapel Hill, USA

Jan PicekTechnical University, Liberec, Czech Republic

Closely related to nonparametric methods, robust statistical methods are not unduly affected by data outliers or other small departures from model assumptions. A comprehensive overview of the methodology, this book covers both methods in parallel to demonstrate their relative strengths and weaknesses. Using examples to illustrate the methods, the text emphasizes applications in the fields of biomedical science, bioinformatics, finance, and engineering. Exercises are also provided in the text.


Mendelian RandomizationStatistical Methods for Using Genes to Estimate Causal AssociationsStephen BurgessMRC Biostatistics Unit, Cambridge, UK

Simon G. ThompsonUniversity of Cambridge, UK

Mendelian randomization is a way of assessing causal associations from observational data. Covering this emerging area of research in biostatistics and epidemiology, this book examines the use of genetic variants as instrumental variables to assess causal associations. It also discusses statistical issues with instrumental variable analysis and explores practical applications of Mendelian randomization. The methods are illustrated with a variety of detailed worked examples using real data.


Mean Field Simulation for Monte Carlo IntegrationPierre Del MoralUniversity of Bordeaux, Talence, FranceSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book presents the first comprehensive and modern mathematical treatment of these mean field particle models, including refined convergence analysis on nonlinear Markov chain models. It also covers applications related to parameter estimation in hidden Markov chain models, stochastic optimization, nonlinear filtering and multiple target tracking, stochastic optimization, calibration and uncertainty propagations in numerical codes, rare event simulation, financial mathematics, and free energy and quasi-invariant measures arising in computational physics and population biology.


Maximum Likelihood Estimation for Sample SurveysR.L. Chambers, D.G. Steel, Suojin Wang, and A.H. WelshSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book presents an overview of likelihood methods for the analysis of survey data obtained using methods that may result in the sample differing from the population. It provides all necessary background material on likelihood inference and covers a range of data types, including multilevel data. Illustrated by numerous worked examples using tractable models, the book also addresses advanced topics, such as combining data, non-response, and informative sampling.


Markov Chain Monte CarloStochastic Simulation for Bayesian Inference, Second EditionDani GamermanUniversity Federal Do Rio de Janeiro, Brazil

Hedibert F. LopesUniversity of Chicago, Illinois, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Incorporating changes in theory and highlighting new applications, this second edition includes many new examples in the chapters on Gibbs sampling and Metropolis-Hastings algorithms. It incorporates developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection. It also features many worked examples and discusses computation using both R and WinBUGS. With additional exercises and selected solutions, it offers all data sets and software for download online.


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Logistic Regression ModelsJoseph M. HilbeCalifornia Institute of Technology, Pasadena, and Arizona State University, Tempe, USASeries: Chapman & Hall/CRC Texts in Statistical Science

This text presents an overview of the full range of logistic models and illustrates how to apply the models to medical, health, environmental/ecological, physical, and social science data. Stata is used to develop, evaluate, and display most models while R code is given at the end of most chapters. The author describes how each type of model is established, interpreted, and evaluated as to its goodness of fit. Example data sets are available online in various formats and a solutions manual is available upon qualifying course adoption.


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Nonparametric Statistical Methods Using RJohn KlokeUniversity of Pittsburgh, Pennsylvania, USA

Joseph McKeanWestern Michigan University, Kalamazoo, USASeries: Chapman & Hall/CRC The R Series

Focusing on robust rank-based nonparametric methods, this book covers rank-based fitting and testing for models ranging from simple location models to general linear models for uncorrelated and correlated responses. Illustrated with real data examples using R, each chapter includes a short problem set with data sets. The corresponding example codes are available online. Accessible to nonspecialists, the book also offers an appendix with the technical details of the geometry of rank-based estimation.

Print ISBN: 978-1-4398-7343-4 May 2014, 6-1/8 x 9-1/4, 200 pp., Soft Cover Suggested Price: $59.95 / £38.99

Multivariate Bonferroni-Type InequalitiesTheory and ApplicationsJohn ChenBowling Green State University, Ohio, USA

This book uses applications to introduce multivariate inequalities before describing their explicit forms and theory. It gives many examples of the application of multivariate Bonferroni-type bounds, including testing procedures based on multivariate Bonferroni-type bounds for the assessment of the drug efficacy in clinical trials. The book discusses how the evaluation of system reliability requires multivariate Bonferroni-type inequalities when a series of subsystems are involved and each subsystem has a parallel design. It also explores how stocks associated with extreme events demand multivariate Bonferroni-type inequalities.


Multilevel Modeling Using RW. Holmes Finch and Jocelyn E. BolinBall State University, Muncie, Indiana, USA

Ken KelleyUniversity of Notre Dame, Indiana, USA

This book presents the theory and practice of major multilevel modeling techniques in a variety of contexts using R as the software tool. It describes the applications and extensions of multilevel modeling with special emphasis on the use of R to conduct the analyses and interpret the resulting output. The book is designed for researchers, data analysts, and upper-level undergraduate and graduate students taking a course on multilevel modeling or statistical modeling.

Print ISBN: 978-1-4665-1585-7 April 2014, 6-1/8 x 9-1/4, 250 pp., Soft Cover Suggested Price: $49.95 / £31.99

Volume I: Continuous ResponsesPrint ISBN: 978-1-59718-103-7 April 2012, 7 3/8 x 9 1/4, 514 pp., Soft Cover


Volume II: Categorical Responses, Counts, and SurvivalPrint ISBN: 978-1-59718-104-4 April 2012, 7 3/8 x 9 1/4, 484 pp., Soft Cover Suggested Price: $89.95 / £57.99

Multilevel and Longitudinal Modeling Using StataVolumes I and II, Third EditionSophia Rabe-HeskethUniversity of California, Berkeley, USA

Anders SkrondalLondon School of Economics, UK

This book examines Stata’s treatment of GLMMs, also known as multilevel or hierarchical models. The first volume covers continuous Gaussian linear mixed models and the second volume discusses GLMMs for binary, categorical, count, and survival outcomes.

Print ISBN: 978-1-59718-108-2 April 2012, 7 3/8 x 9 1/4, Soft Cover Suggested Price: $149.95 / £95.00

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Modern Survey SamplingArijit ChaudhuriIndian Statistical Institute, Kolkata

Starting from the preliminaries through real examples, the author tells the story about what a sample intends to communicate to readers about the unknowable aggregate in a real situation. The story develops its own logic and the book presents various intellectual approaches in a lucid manner. It also reviews recent developments, explores fresh and unseen problems, and addresses possible solutions. A solutions manual and figure slides are available upon qualifying course adoption.


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Past, Present and Future of Statistical ScienceEdited by

Xihong Lin, David L. Banks, Christian Genest, Geert Molenberghs, David W. Scott, and Jane-Ling Wang

This volume celebrates 50 years of the Committee of Presidents of Statistical Societies (COPSS). COPSS gives out four awards each year and they have invited all past recipients of the awards to write a chapter on their own career, research area, and the past/present/future of statistics. The book provides a unique opportunity for a group of very distinguished statisticians to share their knowledge, insight, and experience with the statistical community. It will be of general interest to all students and researchers of statistics.


Nonparametric Statistics on Manifolds and Their ApplicationsVictor PatrangenaruFlorida State University, Tallahassee, USA

Lief EllingsonTexas Tech University, Lubbock, USASeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Requiring only a background in mathematical statistics or analysis, this book presents location and spread parameters for distribution on manifolds, followed by large sample theory results. The text also addresses inference of two samples, nonparametric MANOVA, principal component analysis, and density estimation on manifolds. A special section is dedicated to a nonparametric statistical analysis on special manifolds. The final part of the text focuses on concrete applications in astronomy, image analysis, medical imaging, bioinformatics, and pattern recognition.


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Nonparametric Statistical InferenceFifth EditionJean Dickinson Gibbons and Subhabrata ChakrabortiUniversity of Alabama, Tuscaloosa, USA

Since its first publication in 1971, this book has been widely regarded as the source for learning about nonparametric statistics. Thoroughly revising at least 50 percent of the material, this fifth edition carefully states the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic research examples from the social, behavioral, and life sciences. The text also contains many tables needed for finding P values and obtaining confidence interval estimates of parameters.


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Nonparametric Methods in Statistics with SAS ApplicationsOlga KorostelevaCalifornia State University, Long Beach, USASeries: Chapman & Hall/CRC Texts in Statistical Science

This classroom-tested book teaches students how to apply nonparametric techniques to statistical data. Along with exercises at the end of each chapter, the text includes various examples from psychology, education, clinical trials, and other areas. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the author’s website. A solutions manual and figure slides are available upon qualifying course adoption.


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Nonlinear Times SeriesTheory, Methods and Applications with R ExamplesRandal DoucTelecom SudParis, Evry, France

Eric MoulinesTelecom ParisTech, Paris, France

David StofferUniversity of Pittsburgh, Pennsylvania, USASeries: Chapman & Hall/CRC Texts in Statistical Science

After introducing stochastic processes, Markov chains, Poisson processes, and ARMA models, the authors cover functional autoregressive, ARCH, threshold AR, and discrete time series models. They discuss the main limit theorems for Markov chains, useful inequalities, statistical techniques to infer model parameters, and GLMs. Moving on to HMM models, the book examines filtering and smoothing, parametric and nonparametric inference, advanced particle filtering, and numerical methods for inference. A solutions manual and figure slides are available upon qualifying course adoption.


Network and Adaptive SamplingArijit ChaudhuriIndian Statistical Institute, Kolkata

Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods.


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Quasi-Least Squares RegressionJustine ShultsUniversity of Pennsylvania, Philadelphia, USA

Joseph M. HilbeCalifornia Institute of Technology, Pasadena, and Arizona State University, Tempe, USASeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book demonstrates the advantages of quasi-least squares (QLS) in comparison with alternative methods. Special focus is given to goodness-of-fit analysis and strategies for selecting the appropriate working correlation structure. A fully worked-out example leads readers from the planning stages of a study through model construction and interpretation. Stata is used for the majority of examples, along with corresponding R, SAS, and MATLAB® code available in the book or on the book’s website.


Quality Management for Organizations Using Lean Six Sigma TechniquesErick JonesThe University of Texas at Arlington, USA

This book presents the background on quality and modern Lean Six Sigma techniques and tools. It reviews the previous history of Lean Six Sigma in manufacturing as well as current applications of Lean Six Sigma in operations. The book also examines which projects should be selected and prioritized and what to do with non-Lean Six Sigma projects. It describes the different Six Sigma certifications, along with future directions. A solutions manual is available upon qualifying course adoption.


Probability and StatisticsA Didactic IntroductionEdited by

José I. Barragués, Adolfo Morais, and Jenaro GuisasolaUniversity of the Basque Country, San Sebastián, Spain

With contributions from leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each chapter covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. Suitable for researchers, the book can also be used in entry-level courses for math, science, and engineering students; higher-level courses; and postgraduate university studies.


Principles of UncertaintyJoseph B. KadaneCarnegie Mellon University, Pittsburgh, Pennsylvania, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Addressing what are sometimes thought of as two different subjects, this book presents statistics as simply an application of probability. It provides a comprehensive introduction to uncertainty principles and the theory of Bayesian statistics. Each chapter begins by introducing one new concept or assumption and then explores the consequences of that new assumption when added to those already made. Chapters end with a summary and exercises. The author introduces mathematical ideas just before they are applied to advance the main argument.


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Practical Multivariate AnalysisFifth EditionAbdelmonem AfifiUniversity of California, Los Angeles, USA

Susanne MayUniversity of Washington, Seattle, USA

Virginia A. ClarkConsultant, Sequim, Washington, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Taking into account novel multivariate analyses as well as new options for many standard methods, this renamed, new edition shows readers how to perform multivariate statistical analyses and understand the results. Along with more problems and data sets, the fifth edition includes a new chapter on regression of correlated outcomes. Data sets and code are available for download online. A solutions manual and figure slides are available upon qualifying course adoption.


Pierre Gy’s Sampling Theory and Sampling PracticeHeterogeneity, Sampling Correctness, and Statistical Process Control, Second EditionFrancis F. PitardBroomfield, Colorado, USA

The second edition of this bestseller is a step-by-step guide for process variability management and methods. This edition provides a comprehensive study of heterogeneity, covering the basic principles of sampling theory and its various applications. Many practical examples illustrate how to select appropriate sampling protocols and assess the validity of sampling protocols from others. The book describes good and poor sampling devices to educate readers on what to look for when purchasing sampling systems.


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Stationary Stochastic Processes for Scientists and EngineersGeorg LindgrenLund University, Sweden

Holger RootzenChalmers University, Goteborg, Sweden

Maria SandstenLund University, Sweden

Suitable for a one-semester course, this text teaches students how to use stochastic processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpretation of various statistical models and concepts as well as the types of questions statistical analysis can answer. To enable hands-on practice, MATLAB® code and solutions are available online.


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Stationary Stochastic ProcessesTheory and ApplicationsGeorg LindgrenLund University, SwedenSeries: Chapman & Hall/CRC Texts in Statistical Science

Intended for students taking a second course in stochastic processes, this textbook presents an overview of theory with applications in engineering and science. The book covers ergodicity, crossing problems, and extremes as well as a selection of special topics designed for instructor to expand on, such as extreme-value theory, filter theory, long-range dependence, and point processes. It includes many exercises and examples to illustrate the theory. Figure slides are available upon qualifying course adoption.


Sequential AnalysisHypothesis Testing and Change-Point DetectionMichele BassevilleIRISA, Rennes, France

Igor NikiforovUniversité de Technologie de Troyes, France

Alexander TartakovskyUniversity of Southern California, Los Angeles, USASeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book presents an overview of the theory and applications of sequential methods for hypothesis testing and change-point detection in a wide range of engineering and environmental domains. It describes all the important theoretical developments and applications, including environmental surveillance, biomedical engineering, image processing, computer security, econometrics, and finance. The text covers practical discrete-time models as well as very general cases that include both continuous- and discrete-time models. It also presents the results for multi-hypothesis tests and detection-isolation procedures.


Robust Response Surfaces, Regression, and Positive Data AnalysesRabindra Nath DasThe University of Burdwan, India

There are many gaps in the existing literature of robust response surface designs that need to be filled to solve real-life problems. Addressing these gaps, this book proposes new concepts to remove many limitations of the designs. It presents the relevant regression analysis and positive data analysis techniques and covers applications of correlated regression analysis techniques in block design analysis, robust first- and second-order rotatable and optimal designs for normally distributed responses, as well as lifetime responses having log-normal, exponential, gamma, and Weibull distributions.


Robust Clustering and SelectionGunter RitterUniversität Passau, GermanySeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Although there are many books on clustering, there are relatively few that are well founded in the theoretical aspects. This book overviews the theory and applications of robust clustering and selection, synthesizing the key research results of the last 20 years. It includes all the important theoretical details and covers the key statistical models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The methods are illustrated using real and simulated datasets that can be easily downloaded online.


Richly Parameterized Linear ModelsAdditive, Time Series, and Spatial Models Using Random EffectsJames S. HodgesUniversity of Minnesota, Minneapolis, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a systematic, theory-based understanding of models with random effects. This book takes a first step in developing a full theory of richly parameterized models, which would allow statisticians to better understand their analysis results. It examines what is known and unknown about mixed linear models and identifies research opportunities. Supporting materials are available on the author’s website.


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Statistical TheoryA Concise IntroductionFelix AbramovichTel Aviv University, Israel

Ya’acov RitovThe Hebrew University of Jerusalem, IsraelSeries: Chapman & Hall/CRC Texts in Statistical Science

Designed for a one-semester advanced undergraduate or graduate course, this text clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. It includes illustrative examples in addition to the formal definitions, theorems, and proofs. Requiring no heavy calculus, simple questions throughout the text help students check their understanding of the material. Figure slides are available upon qualifying course adoption.


Statistical Methods for Stochastic Differential EquationsEdited by

Mathieu KesslerUniversidad Politécnica de Cartagena, Spain

Alexander LindnerTU Braunschweig, Germany

Michael SorensenUniversity of Copenhagen, DenmarkSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book presents research trends and developments in statistical methods for stochastic differential equations. Accessible to new students and seasoned researchers, each chapter starts with introductions to the topics and builds gradually toward discussing recent research. Chapters are self-contained and written by leading researchers from the field. The book includes applications to finance and econometrics.


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Statistical Methods for Handling Incomplete DataJae Kwang Kim and Jun Shao

Along with many examples, this text covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. It presents a thorough treatment of statistical theories of likelihood-based inference with missing data. It also discusses numerous computational techniques and theories on imputation and extensively covers methods involving propensity score weighting, nonignorable missing data, longitudinal missing data, survey sampling, and statistical matching. Figure slides are available upon qualifying course adoption.


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Statistical Inference Based on the LikelihoodAdelchi AzzaliniSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This text introduces likelihood-based statistical theory and related methods. It takes a classical point of view and demonstrates how the main body of statistical techniques can be generated from a few key concepts. Focusing on methods that have both a solid theoretical background and practical relevance, the author gives formal justification for the methods used and provides numerical examples with real data.


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Statistical InferenceAn Integrated Approach, Second EditionHelio S. Migon, Dani Gamerman, and Francisco Louzada-NetoSeries: Chapman & Hall/CRC Texts in Statistical Science

Unique in its presentation of topics from both classical and Bayesian perspectives, this second edition describes the relative strengths and weaknesses of the different approaches in each case. It covers all the key topics of standard inference courses, including point and interval estimation, hypothesis testing, prediction, approximation, and linear models. Along with real data examples and exercises for self-study, this edition offers numerous updates that reflect recent developments. Figure slides are available upon qualifying course adoption.


Statistical Analysis of Spatial and Spatio-Temporal Point PatternsThird EditionPeter J. DiggleLancaster University, UKSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Retaining all the material from the second edition and adding substantial new material, this third edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this edition now covers spatio-temporal point patterns. It also incorporates the use of R through several packages dedicated to the analysis of spatial point process data, with code and data sets available online. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences.


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Visualization and Verbalization of DataEdited by

Jorg BlasiusUniversity of Bonn, Germany

Michael GreenacreUniversitat Pompeu Fabra, Barcelona, SpainSeries: Chapman & Hall/CRC Computer Science & Data Analysis

This volume presents an overview of the state of the art in data visualization, encompassing correspondence analysis, nonlinear principal component analysis, cluster analysis, multidimensional scaling, and much more. It covers the historical development of each topic, along with modern techniques and future research directions. To illustrate the methods, the book incorporates many real data examples and software implementations. Each chapter is written by leading researchers in the field and thoroughly edited to ensure coherence and consistency.


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Understanding Advanced Statistical MethodsPeter H. WestfallTexas Tech University, Lubbock, USA

Kevin S.S. HenningSam Houston State University, Huntsville, Texas, USASeries: Chapman & Hall/CRC Texts in Statistical Science

Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, this text helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. A solutions manual and figure slides are available upon qualifying course adoption.


Time Series Modeling of Neuroscience DataTohru OzakiInstitute of Statistical Mathematics, Tokyo, JapanSeries: Chapman & Hall/CRC Interdisciplinary Statistics

Due to recent advances in methodology, there is increasing interest in the use of time series models for the study of neuroscience data. This book presents an overview of time series models for the study of neuroscience data. Accessible to applied statisticians as well as quantitatively trained neuroscientists, the book is supported by many real examples to illustrate the methods and provides useful instructions for computational problems, enabling readers to develop their own computational toolbox to apply the methods to real data.


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Time SeriesModeling, Computation, and InferenceRaquel PradoUniversity of California, Santa Cruz, USA

Mike WestDuke University, Durham, North Carolina, USASeries: Chapman & Hall/CRC Texts in Statistical Science

This text covers the major areas of modern time series models and theory. It also discusses techniques for modeling time series data, such as dynamic graphical models, SMC methods, and nonlinear/non-Gaussian dynamic models. Emphasizing model-based, computationally intensive analysis of structured time series, the authors present analyses of real time series data in numerous examples and case studies to illustrate the flexibility and practical impact of the models and methods. Many of the data sets, R and MATLAB® code, and other material are available on the authors’ websites.


Theory of Factorial DesignSingle- and Multi-Stratum ExperimentsChing-Shui ChengUniversity of California, Berkeley, USA, and Academia Sinica, TaiwanSeries: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This self-contained book provides a rigorous, systematic, and up-to-date treatment of the modern theory of factorial design. It covers the general theory of multi-stratum factorial design, a design key for constructing factorial designs, new construction methods for resolution IV designs, and some results on their structures taken from the literature of projective geometry. Numerous examples, mainly from engineering and agriculture, illustrate the methods. Exercises in each chapter enable the book to be used for self-study or in a special topics course.


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Stochastic Modeling and Mathematical StatisticsA Text for Statisticians and Quantitative ScientistsFrancisco J. SamaniegoUniversity of California, Davis, USASeries: Chapman & Hall/CRC Texts in Statistical Science

This text is designed for a two-quarter or two-semester post-calculus introduction to probability and mathematical statistics for undergraduate students. It can also be used by graduate students in the quantitative sciences, such as computer science, ecology, economics, and engineering, who have the appropriate mathematical background and a serious interest in understanding probability and statistics at the foundational level. A solutions manual and figure slides are available upon qualifying course adoption.


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Data Mining Mobile DevicesJesus MenaTriangular Marketing, El Paso, Texas, USA

Data Mining Mobile Devices defines the collection of machine-sensed environmental data pertaining to human social behavior. Describing how to analyze Wi-Fi and GPS data from websites and apps, it explains how to model mined data through the use of AI software. It also discusses the monetization of mobile devices’ desires and preferences that can lead to the triangulated marketing of content, products, or services to billions of consumers.


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Customer and Business AnalyticsApplied Data Mining for Business Decision Making Using RDaniel S. PutlerAlteryx, California, USA

Robert E. KriderSimon Fraser University, Burnaby, British Columbia, CanadaSeries: Chapman & Hall/CRC The R Series

Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities. It demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. Readers can access a powerful, GUI-enhanced customized R package online as well as example data sets on the book’s website. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-0396-0 eBook ISBN: 978-1-4665-0399-1 May 2012, 7 x 10, 315 pp., Soft Cover Suggested Price: $73.95 / £46.99

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A Course on Statistics for FinanceStanley L. ScloveUniversity of Illinois, Chicago, USA

Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process. It incorporates applied statistics and mathematical statistics and requires no prior background in finance. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. Figure slides are available upon qualifying course adoption.


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A Concise Introduction to Business Research MethodsConcepts and Tools using SPSSD. IsraelSchool of Business & Human Resources, Jharkhand State, India

This text emphasizes major topics, such as experimental design, scale construction techniques, and testing reliability and validity, as well as the application of univariate, bivariate, and multivariate tools in data analysis. Step-by-step details of the application of SPSS, along with screenshots, are included to illustrate how to analyze and interpret research data. Each chapter contains descriptive questions, multiple-choice questions, true/false statements, and exercises. A solutions manual and figure slides are available upon qualifying course adoption.


Computational Actuarial Science with REdited by

Arthur CharpentierUniversity of Québec, Montreal, CanadaSeries: Chapman & Hall/CRC The R Series

Taking a broad approach, this book explores recent developments in statistics that have impacted actuarial science. It covers inference, Bayesian methods, statistical learning, spatial analysis, and estimation before moving on to specific insurance and finance issues and applications. Each chapter describes a theoretical model, presents the core of the R code to show how the algorithm works, and then includes illustrations of the implementations.


Active Risk ManagementFinancial Models and Statistical MethodsTze Leung LaiStanford University, California, USA

Haipeng XingSUNY, Stony Brook, New York, USASeries: Chapman & Hall/CRC Financial Mathematics

Following the recent financial crisis, risk management in financial institutions, particularly in banks, has attracted widespread attention and discussion. This book introduces an innovative concept and methodology developed by the authors: active risk management. The book is suitable for graduate students in mathematical finance/financial engineering, economics, and statistics as well as for practitioners in finance and insurance. The book’s website features the data sets used in the examples along with various exercises.


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Principles of Copula TheoryFabrizio Durante and Carlo Sempi

This book presents a much-needed synthesis of recent research on copulas, a statistical tool widely used in applications in financial risk assessment and actuarial analysis. The text provides an overview of the mathematical properties of copulas with an emphasis on recent developments. It contains numerous examples using real data, especially from finance and insurance. This unique resource not only provides up-to-date information on this growing field, but it also covers the multidimensional case.


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Pricing in General InsurancePietro ParodiWillis LTD, London, UK

Closely following the syllabus for the ST8 exam of the UK actuarial profession, this textbook provides a practical introduction to the pricing actuary in general insurance. Developed from the author’s actuarial science course at the Cass Business School, the book is full of real examples that illustrate the various topics. It includes many exercises, based on past ST8 exams, making it ideal for teaching or self-study. Figure slides are available upon qualifying course adoption.


Navigating Strategic DecisionsThe Power of Sound Analysis and ForecastingJohn E. TriantisLong Range Planning Associates, Vero Beach, Florida, USA

Based on the author’s 40 years of experience and research, this book provides guidance on forecasting for strategic decision making. It includes methodology, tools, and models and explains how to apply sanity checks to existing forecasts to rank project valuations, identify project risks, and select the higher value creation projects. The author discusses how to assess the feasibility of large projects, analyze forecasting models to determine controllable levers, and create the conditions needed for forecasts to materialize.


Introduction to Spatial EconometricsJames LeSageMcCoy College of Business Administration, San Marcos, Texas, USA

R. Kelley PaceLouisiana State University, Baton Rouge, USASeries: Statistics: A Series of Textbooks and Monographs

This introduction presents a variety of regression methods for analyzing spatial data samples that violate the traditional assumption of independence between observations. It explores a range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances. The authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. MATLAB® toolboxes useful for spatial econometric estimation are available on the authors’ websites.


Financial and Actuarial StatisticsAn Introduction, Second EditionDale S. BorowiakUniversity of Akron, Ohio, USA

Arnold F. ShapiroThe Pennsylvania State University, State College, USA

Presenting a unique interface between statistics and financial/actuarial topics, this second edition provides a solid background for students preparing for a career in actuarial science. It explores novel research areas and adds more problems, along with a new solutions section. This edition also includes a new chapter on Markov chain theory with applications to mortality and multiple decrement mortality table modeling, a presentation of model checking diagnostics that covers diagnostics for mortality tables, and an expanded discussion on option pricing with examples.


Economic Time SeriesModeling and SeasonalityEdited by

William R. BellU.S. Census Bureau, Washington, D.C., USA

Scott H. HolanUniversity of Missouri, Columbia, USA

Tucker S. McElroyU.S. Census Bureau, Washington, D.C., USA

This compilation focuses on the analysis of economic time series as it pertains to modeling and seasonality. It presents cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. The book showcases the cross-fertilization between the fields of time series modeling and seasonal adjustment, as reflected both in the contents of the chapters and in their authorship, with contributors coming from academia and government statistical agencies.


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Stochastic Processes with Applications to FinanceSecond EditionMasaaki KijimaTokyo Metropolitan University, JapanSeries: Chapman & Hall/CRC Financial Mathematics

This accessible text presents the mathematical theory of financial engineering using only basic mathematical tools that are easy to understand even for those with little mathematical expertise. Along with many more examples, this second edition includes a new chapter on the change of measures and pricing of insurance products, a new section on the use of copulas, and two new chapters that offer more coverage of interest rate derivatives and credit derivatives. Figure slides are available upon qualifying course adoption.


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Stochastic FinanceAn Introduction with Market ExamplesNicolas PrivaultSeries: Chapman & Hall/CRC Financial Mathematics

This comprehensive text presents an introduction to pricing and hedging in financial models, with an emphasis on analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance. Many real examples illustrate the topics and classroom-tested exercises are included in each chapter, with selected solutions at the back of the book. A solutions manual and figure slides are available upon qualifying course adoption.


Statistical Methods for Financial EngineeringBruno RemillardHEC Montreal, Quebec, Canada

The statistical aspects behind the implementation of stochastic models used in financial engineering are often overlooked or restricted to a few well-known cases. This self-contained book guides current and future practitioners on implementing the most useful stochastic models used in the field. Each chapter introduces powerful and practical statistical tools necessary to implement the models. Throughout the text, examples using MATLAB® illustrate the application of the techniques to solve real-world financial problems. MATLAB and R programs are available on the author’s website.


Statistical and Machine-Learning Data MiningTechniques for Better Predictive Modeling and Analysis of Big Data, Second EditionBruce RatnerDM STAT-1 Consulting, New York, New York, USA

This book focuses on uniquely large-scale statistical models that effectively consider big data identifying structures (variables) with the appropriate predictive power in order to yield reliable, robust, and relevant large-scale analyses. This second edition incorporates 13 new chapters as well as expanded explanations of the author’s own popular machine-learning GenIQ Model. The book delivers practical, insightful quantitative techniques that reliably accommodate big data and the small data implied within.


Random Dynamical Systems in FinanceAnatoliy SwishchukUniversity of Calgary, Alberta, Canada

Shafiqul IslamUniversity of Prince Edward Island, Charlottetown, Canada

With extensive end-of-chapter references, this book provides a variety of RDS for approximating financial models, presents numerous option pricing formulas for these models, and studies the stability and optimal control of RDS. Through numerous examples, the authors explain how the theory of RDS can describe the asymptotic and qualitative behavior of systems of random and stochastic differential/difference equations in terms of stability, invariant manifolds, and attractors. They also develop techniques for implementing RDS as approximations to financial models and option pricing formulas.


Quantitative Operational Risk ModelsCatalina Bolancé, Montserrat Guillén, Jim Gustafsson, and Jens Perch Nielsen

Presenting a nonparametric approach to modeling operational risk data, this book offers a practical perspective that combines statistical analysis and management orientations. It covers the statistical theory prerequisites and summarizes important contributions made in the past decade. The authors explain how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. They also include SAS and R routines to implement all of the procedures discussed in the text.


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Risk Analysis in Engineering and EconomicsSecond EditionBilal M. AyyubUniversity of Maryland, College Park, USA

Suitable as a text or reference for senior undergraduate or graduate students in engineering, economics, finance, and statistics, this practical book introduces the fundamentals of risk analysis and management to facilitate quantification and rational decision making. Prerequisites for using the book are probability, calculus, and statistics. A solutions manual is available upon qualifying course adoption.


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Probability, Statistics, and Reliability for Engineers and ScientistsThird EditionBilal M. Ayyub and Richard H. McCuenUniversity of Maryland, College Park, USA

The third edition of this best-selling text places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This edition also features expanded discussions of ANOVA and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method but also show that data analysis is a continuum rather than the isolated application of different methods. A solutions manual is available upon qualifying course adoption.


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Probabilistic Models for Dynamical SystemsSecond EditionHaym BenaroyaRutgers University, New Brunswick, New Jersey, USA

Seon Mi HanTexas Tech University, Lubbock, USA

Mark NagurkaMarquette University, Milwaukee, Wisconsin, USA

This self-contained book introduces engineering students to randomness in variables, time-dependent functions, and solution methods of the governing equations. It also provides extensive discussions on applications to vibrating systems, reliability, ocean engineering, and control/mechatronic systems. After completing this book, students will have a much better understanding of current research and be able to participate in advanced design. A solutions manual and figure slides are available upon qualifying course adoption.


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Modeling and Analysis of Stochastic SystemsSecond EditionVidyadhar G. KulkarniUniversity of North Carolina, Chapel Hill, USASeries: Chapman & Hall/CRC Texts in Statistical Science

This text covers the most important classes of stochastic processes used in the modeling of diverse systems. For each class, the author includes its definition, characterization, applications, transient and limiting behavior, first passage times, and cost/reward models. This edition contains a new chapter on diffusion processes with applications to finance; presents a more streamlined, application-oriented approach to renewal, regenerative, and Markov regenerative processes; and offers MATLAB®-based programs on the author’s website. A solutions manual is available upon qualifying course adoption.


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Engineering OptimizationA Modern ApproachRanjan GanguliIndian Institute of Sciences, Bangalore

This book provides a thorough understanding of the concepts of optimization methods from a modern perspective at the conceptual stage of complex technical systems. It focuses on nonlinear optimization with an emphasis on methods such as response surface and genetic algorithms. The text moves the concept of optimization from an academic setting to an industry platform yet gives a balanced treatment of classical methods, making it suitable for an undergraduate course. A solutions manual and figure slides are available upon qualifying course adoption.


Advanced Risk Analysis in Engineering Enterprise SystemsC. Ariel PintoOld Dominion University, Norfolk, Virginia, USA

Paul R. GarveyThe MITRE Corporation, Bedford, Massachusetts, USASeries: Statistics: A Series of Textbooks and Monographs

Focusing on the modeling, analysis, and management of risk in today’s complex engineering enterprise systems, this book provides advanced methods for tackling risk problems at the enterprise level. The text presents a risk analytical framework for engineering enterprise systems and covers capability portfolio risk management, functional dependency network analysis, and extreme-event theory. It also discusses prioritization systems in highly networked enterprise environments and examines how to measure risks of extreme latencies in complex queuing networks.


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A Handbook of Applied Statistics in PharmacologyKatsumi KobayashiNational Institute of Technology and Evaluation, Tokyo, Japan

K. Sadasivan PillaiFrontier Life Sciences Services, Chennai, India

Statistics plays an important role in pharmacology and related subjects, such as toxicology and drug discovery and development. Improper statistical tool selection for analyzing the data obtained from studies may result in wrongful interpretation of the performance or safety of drugs. Through useful statistical tools and research examples, this book provides cognitive clues for the selection of appropriate tools to analyze the data obtained from the studies. It also explains how to interpret results of statistical analyses.


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Foundational and Applied Statistics for Biologists Using RKen A. AhoIdaho State University, Pocatello, USA

This text introduces foundational topics in science, probability, and mathematical statistics for advanced undergraduate and graduate students in biology and related fields. It offers comprehensive background material in probability and mathematical statistics, emphasizing Bayesian methods and biological applications throughout. The author discusses relevant issues in the philosophy of science as well as the design of effective experiments. He also uses an R package specifically developed to demonstrate ideas presented in the book. Figure slides are available upon qualifying course adoption.


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Design of Experiments and Linear Regression in the Biological SciencesSalvador Alejandro Gezan, Suzanne Jane Clark, Suzanne Jane Welham, and Andrew Mead

Written in simple language with real research examples, this introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary. The authors illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R. Figure slides are available upon qualifying course adoption.


Analysis of Capture-Recapture DataByron J.T. Morgan and Rachel S. McCreaUniversity of Kent, Canterbury, UKSeries: Chapman & Hall/CRC Interdisciplinary Statistics

Written for researchers and graduate students in statistics, demography, and the social sciences, this reference provides an overview of capture-recapture—the statistical methods used to estimate population size. It covers model development and examines the technicalities of model diagnostics, an often overlooked aspect in practice. The authors provide examples to demonstrate the statistical nuances that are encountered with complex modeling. The book uses real-world data sets throughout and includes exercises and stand-alone software programs, such as R and WinBUGS.


Time Series with Mixed SpectraTa-Hsin LiIBM T.J. Watson Research Center, Yorktown Heights, New York, USA

This book focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed theoretical and empirical analyses of important methods and algorithms. Using both simulated and real-world data to illustrate the analyses, the book discusses periodogram analysis, autoregression, maximum likelihood, and covariance analysis. It considers real- and complex-valued time series, with and without the Gaussian assumption. The author also includes the most recent results on the Laplace and quantile periodograms as extensions of the traditional periodogram.


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Statistical and Econometric Methods for Transportation Data AnalysisSecond EditionSimon P. WashingtonQueensland University of Technology, Brisbane, Australia

Matthew G. KarlaftisNational Technical University of Athens, Greece

Fred L. ManneringPurdue University, West Lafayette, Indiana, USA

With many examples and case studies covering transportation planning, engineering, safety, and economics, this update of a bestseller includes new chapters on logistic regression, ordered probability models, random-parameter models, and Bayesian statistical modeling. It also offers an explicit treatment of frequency domain time series analysis, including Fourier and wavelets analysis methods. Data sets and PowerPoint® and Word presentations are available online. Figure slides are available upon qualifying course adoption.


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Applied Survey Data AnalysisSteven G. Heeringa, Brady T. West, and Patricia A. BerglundUniversity of Michigan, Ann Arbor, USASeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

With many examples and exercises based on major real-world survey data sets, this book provides a practical statistical overview of the analysis of complex sample survey data. It presents many methods and models for survey data analysis, including the linear regression, generalized linear, Cox proportional hazards, and discrete time models. It also explores developments in advanced statistical techniques, such as multilevel analysis of survey data. Although Stata is used for most examples in the text, other software code is also offered on the book’s website.


Analyzing Spatial Models of Choice and Judgment with RDavid A. Armstrong, Ryan Bakker, Royce A. Carroll, Christopher Hare, Keith T. Poole, and Howard RosenthalSeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Suitable for researchers and graduate students in the social sciences, this book shows how to apply spatial models using R to a wide range of data from political science and related areas. It also covers multidimensional scaling models, which have long been used in psychology. Requiring some knowledge of R basics and elementary statistics, the book includes many code examples and end-of-chapter problems to help readers apply the example code to publicly available data sets.


Age-Period-Cohort ModelsApproaches and Analyses with Aggregate DataRobert M. O’BrienUniversity of Oregon, Eugene, USASeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

One of the first to do so, this book integrates the major approaches to APC analysis for aggregate-level data, such as uniform crime reports, vital statistics, and census data. It connects the traditional methods of constrained estimation, estimation using cohort (or age or period) characteristics, estimable functions, the overidentification approach of Winship and Harding, variance decomposition, and a sufficient condition for age, period, or cohort effects.


Age-Period-Cohort AnalysisNew Models, Methods, and Empirical ApplicationsYang YangUniversity of North Carolina, Chapel Hill, USA

Kenneth C. LandDuke University, Durham, North Carolina, USASeries: Chapman & Hall/CRC Interdisciplinary Statistics

This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions.


Textbook

Modelling and Quantitative Methods in FisheriesSecond EditionMalcolm HaddonCSIRO, Hobart, Tasmania, Australia

This second edition incorporates two new chapters on characterizing uncertainty and size-based models. The author presents full, step-by-step derivations of equations as much as possible to enable a thorough understanding of the models and methods. The text includes many worked examples in Excel that help explain the analyses in detail and demonstrate how to perform the analyses. Excel workbooks are available for download on the book’s CRC Press web page. Figure slides are available upon qualifying course adoption.


Textbook

Introduction to Statistical Data Analysis for the Life SciencesClaus Thorn EkstromHelle SørensenUniversity of Copenhagen, Denmark

This text provides a computational toolbox that enables readers to perform actual analysis for real data sets and gain the confidence and skills to undertake progressively more sophisticated analyses. Though accessible with any statistical software, the text encourages a reliance on R. The authors provide a short tutorial for those new to the software and include R commands and output at the end of each chapter. Data sets are available on a supporting website. A solutions manual is available upon qualifying course adoption.


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Handbook of International Large-Scale AssessmentBackground, Technical Issues, and Methods of Data AnalysisEdited by

Leslie RutkowskiIndiana University, Bloomington, USA

Matthias von DavierEducational Testing Service, Princeton, New Jersey, USA

David RutkowskiIndiana University, Bloomington, USASeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

International large-scale assessments (ILSAs) of educational achievement, such as the Trends in International Mathematics and Science Study and the Programme for International Student Assessment, are an increasingly important part of the educational research and policy landscape. This book brings together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide for ILSA users that goes beyond current ILSA user manuals.


Growth Curve Analysis and Visualization Using R Daniel MirmanMoss Rehabilitation Institute, Elkins Park, Pennsylvania, USAChapman & Hall/CRC The R Series

Accessible to quantitative psychology researchers, this book introduces growth curve analysis (GCA) methods for applications in the behavioral sciences. It introduces the challenges involved with this type of data, discusses the basics of GCA, and explains how the methods can be used to analyze the data. The book takes a very practical approach, emphasizing visualization and keeping mathematical details to a minimum. It includes many real data examples from cognitive science and social psychology and integrates R code for the implementation of the methods.


Textbook

Generalized Linear Models for Categorical and Continuous Limited Dependent VariablesMichael SmithsonThe Australian National University, Canberra

Edgar C. MerkleUniversity of Missouri, Columbia, USASeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages. A solutions manual and figure slides are available upon qualifying course adoption.


Event History Analysis with RGöran BroströmProfessor Emeritus, Umeå University, SwedenChapman & Hall/CRC The R Series

With an emphasis on social science applications, this book presents an introduction to survival and event history analysis. It includes a wide range of real examples, with data available online and supported by a dedicated R package for performing all of the analyses. Keeping mathematical details to a minimum, the author covers both discrete- and continuous-time data, parametric proportional hazards, and accelerated failure times. He also describes how to use methods that are not available in other software for survival analysis.


Computerized Multistage TestingTheory and ApplicationsEdited by

Duanli Yan, Alina A. von Davier, and Charles LewisEducational Testing Service, Princeton, New Jersey, USASeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Bringing together recent research from top psychometricians in the field, this book covers the psychometric theory, methodologies, and applications for computerized multistage testing (MST). It discusses the history of MST, test design and implementation for various purposes, item pool development and maintenance, IRT-based and classical test theory-based methodologies for test assembly, routing and scoring, equating, and test security. The book also explores the latest applications and challenges as well as innovative future assessments using MST.


Textbook

Bayesian MethodsA Social and Behavioral Sciences Approach, Third EditionJeff GillWashington University, St. Louis, Missouri, USASeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

This updated, best-selling book continues to be one of the only Bayesian statistics texts designed for social scientists. Incorporating new research and additional material, the third edition presents state-of-the-art guidance on Bayesian statistical computing. It emphasizes MCMC and computation with R and WinBUGS. Along with doubling the number of exercises, this edition covers time series, decision theory, nonparametric models, and mixture models. A solutions manual and figure slides are available upon qualifying course adoption.


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Incomplete Categorical Data DesignNon-Randomized Response Techniques for Sensitive Questions in SurveysGuo-Liang TianThe University of Hong Kong

Man-Lai TangHong Kong Baptist UniversitySeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

This self-contained, systematic introduction shows how to draw valid statistical inferences from survey data with sensitive characteristics. It guides readers in applying the non-randomized response approach in surveys and new non-randomized response designs. The techniques covered integrate the strengths of existing approaches, including randomized response models, incomplete categorical data design, the EM algorithm, the bootstrap method, and the data augmentation algorithm. All R codes for the examples are available online.


Image Statistics in Visual ComputingTania Pouli, Erik Reinhard, and Douglas W. Cunningham

With numerous color figures throughout, this work covers all aspects of natural image statistics, from data collection to analysis to applications in computer graphics, computational photography, image processing, and art. Collecting state-of-the-art, interdisciplinary knowledge in one source, the book explores the relation of natural image statistics to human vision and shows how natural image statistics can be applied to visual computing. A supporting website offers additional information, including descriptions of various image databases suitable for statistics.


Handling Missing Data in Social ResearchScott M. Lynch and J. Scott BrownSeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

For social scientists, it is often confusing how to determine when missing data is a problem in analyses and how to handle it. With exercises, computer-based problems, and suggestions for further reading, this book presents a comprehensive overview of the available methods, focusing on which method should be used for specific problems. Numerous real and simulated data examples illustrate how the methods can be applied once the appropriate technique has been determined. R code and the data sets are available on the book’s website.


Handbook of Univariate and Multivariate Data Analysis with IBM SPSSSecond EditionRobert HoAssumption University of Thailand, Bangkok

This accessible handbook explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. Updated with version 20 of the SPSS statistical package for Windows, this second edition now covers more topics, including tests of assumptions and how to deal with missing data. It also offers three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation and expands coverage of factor analysis, path analysis, and structural equation modeling.

Print ISBN: 978-1-4398-9021-9 November 2013, 6-1/8 x 9-1/4 Suggested Price: $89.95 / £57.99

Handbook of Item Response TheoryThree-Volume SetEdited by

Wim Van Der LindenRonald K. HambletonUniversity of Massachusetts, Amherst, USASeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Drawing on the work of internationally acclaimed experts in the field, this three-volume handbook presents models, statistical tools, and applications of item response theory. The first volume covers the current models in item response theory. The second volume presents many classical and modern statistical tools used in item response theory. The third volume explains how to use item response theory to solve applied measurement problems in various fields.


Volume OnePrint ISBN: 978-1-4665-1431-7 June 2014, 7 x 10, 600 pp. Suggested Price: $99.95 / £63.99

Volume TwoPrint ISBN: 978-1-4665-1432-4 June 2014, 7 x 10, 450 pp. Suggested Price: $99.95 / £63.99

Volume ThreePrint ISBN: 978-1-4665-1433-1 June 2014, 7 x 10, 450 pp. Suggested Price: $99.95 / £63.99

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A Statistical Guide for the Ethically PerplexedLawrence Hubert University of Illinois, Urbana-Champaign, USA

Howard WainerNational Board of Medical Examiners, Pennsylvania, USA

Exploring the intersection of ethics and statistics, this comprehensive guide illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers’ day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. In addition, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation.

Print ISBN: 978-1-4398-7368-7 eBook ISBN: 978-1-4398-7369-4 September 2012, 6-1/8 x 9-1/4, 588 pp., Soft Cover Suggested Price: $52.95 / £33.99

Statistical Analysis of QuestionnairesA Unified Approach Based on R and StataFrancesco Bartolucci, Silvia Bacci, and Michela GnaldiSeries: Chapman & Hall/CRC Interdisciplinary Statistics

Mirroring the growing interest and use of statistical methods and software in education, health, and marketing, this book focuses on the statistical methods used to analyze and validate questionnaires adopted in these fields. The book features an applied approach to conducting testing and measurement. The chapters build from foundations of classical measurement theory, test reliability, and validity and scaling to item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items to the most recent IRT extensions.


Stated Preference Methods Using RHideo AizakiInstitute for Rural Engineering, Ibaraki, Japan

Tomoaki NakataniHokkaido University, Japan

Kazuo SatoRakuno Gakuen University, Hokkaido, JapanSeries: Chapman & Hall/CRC The R Series

Suitable for applied statisticians and empirical researchers, this book helps readers select the best method from the many econometric methods available for measuring individual preferences. The authors present the theoretical foundations of each method together with worked examples to illustrate their application in various fields, notably empirical economics and market research. R is used to implement all methods, with code, packages, and data sets available online.


Spatial Analysis Methods of Road Traffic CrashesBecky P.Y. Loo and Tessa AndersonThe University of Hong Kong

An interdisciplinary account of the spatial analytical approaches to road traffic crashes, this book draws on the computational advances of GIS to discuss the economic, social, and scientific importance of road safety measures and traffic management. It begins with an examination of the geographical concepts of risk and then provides an overview of different types of analysis on road crashes. Lastly, it examines methods for road crash reduction and prevention. The book outlines current methodologies and approaches in a systematic and empirical way.


Textbook

Nonparametric Statistics for Social and Behavioral SciencesM. Kraska-MillerAuburn University, Alabama, USA

Designed for upper undergraduate and graduate students, this textbook covers the concepts, principles, and procedures used to perform nonparametric statistical procedures. It presents many demonstrations, examples, and exercises. SPSS screen shots are used to demonstrate steps of the procedures and interpret the results. Each chapter includes a summary, exercises, and references. A solutions manual and figure slides are available upon qualifying course adoption.


Latent Markov Models for Longitudinal DataFrancesco BartolucciUniversity of Perugia, Italy

Alessio FarcomeniSapienza University of Rome, Italy

Fulvia PennoniUniversity of Milano-Bicocca, ItalySeries: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, this book focuses on the formulation of latent Markov models and the practical use of these models. It demonstrates how to use the models in three types of analysis, with numerous examples illustrating how latent Markov models are used in economics, education, sociology, and other fields. The R and MATLAB® routines used for the examples are available on the authors’ website.


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3D Math Primer for Graphics and Game Development, 2nd Edition ............................................................................43

A

Abstract Algebra: An Inquiry Based Approach ..........................3

Active Risk Management: Financial Models and Statistical Methods ................................................................84

Advanced Calculus: Theory and Practice ................................13

Advanced Counterparty Risk Modeling, Valuation and Hedging .........................................................................30

Advanced Engineering Mathematics ......................................25

Advanced Engineering Mathematics with MATLAB, Third Edition ..........................................................................25

Advanced Risk Analysis in Engineering Enterprise Systems .....87

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications .....................................................89

Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data .............................................................89

Agricultural Statistical Data Analysis Using Stata ....................60

Algebraic and Stochastic Coding Theory ...............................25

Algebraic Curves in Cryptography ...........................................8

Algebraic Number Fields and Their Completions .....................4

Algebras, Graphs and their Applications ..................................3

Algorithms for Next-Generation Sequencing .........................47

Analysis of Capture-Recapture Data .......................................88

Analysis of Categorical Data with R ........................................71

Analysis of Competing Risks Data: Concepts, Methods and Software .........................................................................50

Analysis of Complex Diseases: A Mathematical Perspective ....21

Analysis of Mixed Data: Methods & Applications ...................71

Analysis of Queues: Methods and Applications ......................38

Analysis of Time Series: An Introduction, Sixth Edition ...........62

Analysis of Variance for Functional Data .................................71

Analyzing Baseball Data with R ..............................................62

Analyzing Spatial Models of Choice and Judgment with R .....89

Applications of Combinatorial Matrix Theory to Laplacian Matrices of Graphs ..................................................................9

Applications of Percolation Theory, Second Edition ................25

Applied Bohmian Mechanics: From Nanoscale Systems to Cosmology ............................................................................33

Applied Categorical and Count Data Analysis ........................71

Applied Combinatorics, Second Edition ...................................9

Applied Differential Equations: An Introduction .....................13

Applied Medical Statistics Using SAS ......................................50

Applied Meta-Analysis with R .................................................50

Applied Nonparametric Statistical Methods, Fourth Edition ...71

Applied Reliability, Third Edition ............................................66

Applied Stochastic Processes ..................................................40

Applied Survey Data Analysis .................................................89

Applying Analytics: A Practical Introduction ...........................38

Approximate Analytical Methods for Solving Ordinary Differential Equations.............................................................13

Approximating Data ..............................................................71

Artificial Intelligence in Power System Optimization ................7

Asymptotic Analysis and Perturbation Theory ........................13

Automation of Logic ..............................................................45

A-Z of Error-Free Research .....................................................63

B

Background Modeling and Foreground Detection for Video Surveillance ............................................................22

Basic Algebraic Topology .......................................................19

Basic Course in Real Analysis ..................................................41

Basic Gambling Mathematics: The Numbers Behind The Neon ..............................................................................43

Bayesian Adaptive Methods for Clinical Trials .........................50

Bayesian Data Analysis, Third Edition .....................................72

Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition ................................50

Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians ................................................72

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data ......................................72

Bayesian Methods for Data Analysis, Third Edition .................72

Bayesian Methods in Epidemiology .......................................50

Bayesian Methods in Health Economics .................................51

Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition .........................................................90

Bayesian Phylogenetics: Methods, Computational Algorithms, and Applications .................................................60

Bayesian Programming ..........................................................67

Benefit-Risk Assessment in Pharmaceutical Research and Development ..................................................................51

Beyond Quantum ..................................................................33

Bioinformatics Database Systems ...........................................47

Bioinformatics Ethics ..............................................................48

Biosimilars: Design and Analysis of Follow-on Biologics ..........51

Biostatistics in Action: Basic and Advanced Statistical Modeling Using SPSS ............................................................51

BUGS Book: A Practical Introduction to Bayesian Analysis ......63

Business Process Modeling, Simulation and Design, Second Edition ......................................................................39

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Case Studies in Enterprise Systems, Complex Systems, and System of Systems Engineering .........................................7

Causal Inference ....................................................................51

Cellular Potts Models: Multiscale Extensions and Biological Applications ....................................................23

Classic Set Theory: For Guided Independent Study ................45

Classification and Regression Trees ........................................72

Classification of Lipschitz Mappings .......................................41

Clinical and Statistical Considerations in Personalized Medicine ...........................................................51

Cloud Computing: Data-Intensive Computing and Scheduling .....................................................................35

Clustering: A Data Recovery Approach, Second Edition .........57

CoArrays: Parallel Programming in Fortran ............................35

Combinatorial Scientific Computing ........................................9

Combinatorics of Permutations, Second Edition ......................9

Combinatorics of Set Partitions ................................................9

Computability Theory, Second Edition ...................................46

Computational Actuarial Science with R ................................84

Computational and Visualization Techniques for Structural Bioinformatics using Chimera ...........................48

Computational Business Analytics ..........................................67

Computational Intelligent Data Analysis for Sustainable Development ......................................................67

Computational Methods for Data Evaluation and Assimilation ....................................................................26

Computational Methods in Finance .......................................30

Computational Model of Immune Response ..........................48

Computational Number Theory ..............................................4

Computational Systems Biology of Cancer ............................48

Computer Graphics Through OpenGL: From Theory to Experiments .................................................21

Computerized Multistage Testing: Theory and Applications ..90

Computing: A Historical and Technical Perspective ................43

Concise Introduction to Business Research Methods: Concepts and Tools using SPSS .............................................84

Concise Introduction to Programming in Python .....................5

Concise Introduction to Pure Mathematics, Third Edition ......17

Confidence Intervals for Proportions and Related Measures of Effect Size ..............................................72

Constrained Principal Component Analysis and Related Techniques .........................................................73

Continuous Time Dynamical Systems: State Estimation and Optimal Control with Orthogonal Functions ..................26

Contrast Data Mining: Concepts, Algorithms, and Applications ....................................................................68

Coupled Systems: Theory, Models, and Applications in Engineering .......................................................................35

Course in Mathematical Methods for Physicists .....................33

Course in Ordinary Differential Equations ..............................14

Course on Statistics for Finance .............................................84

Crafting Conundrums: Puzzles and Patterns for the Bead Crochet Artist ....................................................43

CRC Encyclopedia of Mathematics, Third Edition - 3 Volume Set ..................................................17

CRC Standard Mathematical Tables and Formulae, 32nd Edition ..........................................................................17

Cryptoclub: Using Mathematics to Make and Break Secret Codes .........................................................................18

Cryptography: Theory and Practice, Third Edition ...................9

Cryptology: Classical and Modern with Maplets ....................18

Cultural History of Physics .....................................................44

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R ....................................84

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Data Analysis and Statistics for Geography, Environmental Science, and Engineering ...............................60

Data Analysis Using Stata, Third Edition .................................63

Data Clustering: Algorithms and Applications ........................68

Data Mining for Bioinformatics ..............................................68

Data Mining Mobile Devices..................................................84

Data Mining with R: Learning with Case Studies ....................68

Data Mining: Theories, Algorithms, and Examples .................68

Decision Making in Service Industries: A Practical Approach ..39

Delaunay Mesh Generation .....................................................5

Design and Analysis of Bridging Studies.................................52

Design and Analysis of Cross-Over Trials, Third Edition ..........52

Design and Analysis of Experiments with R ............................73

Design and Analysis of Experiments with SAS ........................73

Design and Analysis of Non-Inferiority Trials ..........................52

Design of Experiments and Linear Regression in the Biological Sciences .......................................................88

Designing Scientific Applications on GPUs .............................35

Desktop Grid Computing ......................................................36

Difference Equations: Theory, Applications and Advanced Topics, Third Edition .......................................14

Differential Equations with MATLAB: Exploration, Applications, and Theory ...................................14

Diffusion: Formalism and Applications ...................................33

Digital Geometry in Image Processing .....................................7

Discovering Structural Equation Modeling Using Stata 13 (Revised Edition) ....................................................................73

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Discrete Algorithmic Mathematics, Third Edition ...................10

Discrete Dynamical Systems and Chaotic Machines: Theory and Applications ........................................................14

Discrete Mathematics Applied to QSAR and Beyond ..............10

Discrete Mathematics with Ducks ..........................................10

Discrete Structures and Their Interactions ..............................10

Distributed Strategic Learning for Wireless Engineers .............17

Divergence Theorem and Sets of Finite Perimeter ..................42

Divided Spheres: Geodesics and the Orderly Subdivision of the Sphere .........................................................................19

Do I Count?: Stories from Mathematics .................................44

Dynamic Documents with R and knitr ...................................73

Dynamical Models in Medicine ..............................................23

Dynamics of Discrete Populations and Series of Events ..........41

E

Economic Time Series: Modeling and Seasonality ..................85

Economic-Mathematical Methods and Models under Uncertainty .................................................................21

Elements of Advanced Mathematics, Third Edition ................46

Elements of Quantum Computation and Quantum Communication ....................................................34

Elements of Topology ............................................................20

Encounters with Chaos and Fractals, Second Edition .............14

Encyclopedia of Biopharmaceutical Statistics, Third Edition ...52

Engineering Optimization: A Modern Approach ....................87

Ensemble Methods: Foundations and Algorithms ..................68

Epidemiology: Study Design and Data Analysis, Third Edition ..........................................................................52

Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers .........................................66

Essential Statistical Concepts for the Quality Professional .......66

Essential Statistics, Fourth Edition ..........................................63

Essentials of Cloud Computing ..............................................36

Essentials of Multivariate Data Analysis ..................................63

Event History Analysis with R .................................................90

Event Mining: Theory, Algorithms, and Applications ..............69

Exercises and Solutions in Statistical Theory ...........................73

Explorations in Computing: An Introduction to Computer Science ...................................................................5

Exploratory Data Analysis with MATLAB, Second Edition .......69

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models ............74

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Financial and Actuarial Statistics: An Introduction, Second Edition ......................................................................85

Financial Mathematics: A Comprehensive Treatment .............30

Financial Modelling with Jump Processes ...............................31

Finite Element Analysis of Composite Materials using Abaqus™ .....................................................................26

Finite Element Analysis of Composite Materials Using ANSYS, Second Edition ................................................26

First Course in Abstract Algebra: Rings, Groups and Fields, Second Edition ..............................................................3

First Course in Differential Equations, Modeling, and Simulation ......................................................................26

First Course in Machine Learning ...........................................69

First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition ..........67

Fixed Point Theory, Variational Analysis, and Optimization ....42

Flexible Imputation of Missing Data.......................................74

Formal Cell Biology: An Introduction to Formal Methods in Systems Biology ........................................5

Foundational and Applied Statistics for Biologists Using R ......88

Foundations of Interconnection Networks .............................26

Foundations of Predictive Analytics ........................................69

Foundations of Statistical Algorithms .....................................57

Fourier Modal Method and Its Applications in Computational Nanophotonics .............................................27

Functional Analysis Framework for Modeling, Estimation and Control in Science and Engineering ...............42

Functorial Model Theory: Newer Applications to Algebraic Topology, Descriptive Sets, and Computing Categories Topos ................................................20

Fundamental Rules of Risk Management ...............................31

Fuzzy Multiple Objective Decision Making .............................39

G

Galois Theory, Third Edition .....................................................3

Game Design Theory: A New Philosophy for Understanding Games ...........................................................17

Game-Theoretical Models in Biology .....................................23

Garbage Collection Handbook: The Art of Automatic Memory Management ............................................................6

Generalized Additive Models: An Introduction with R ............74

Generalized Calculus with Applications to Matter and Forces....14

Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization ...............................................39

Generalized Estimating Equations, Second Edition .................74

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications .....................................................74

Generalized Linear Models and Extensions, Third Edition.......75

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables ..............................90

Generalized Linear Models, Second Edition ...........................74

Genome Annotation ..............................................................48

Gentle Introduction to Stata, Revised Third Edition ................63

Geomathematically Oriented Potential Theory ........................7

Geometry of Musical Rhythm: What Makes a “Good” Rhythm Good? .........................................................18

Geometry of Special Relativity ...............................................20

Geometry, Topology and Physics, Second Edition ..................20

Getting Started with Business Analytics: Insightful Decision-Making ...................................................69

Graph Theory and Its Applications, Second Edition ...............10

Graphs & Digraphs, Fifth Edition ...........................................10

Green Computing Book: Tackling Energy Efficiency at Large Scale ........................................................................36

Group Inverses of M-Matrices and Their Applications ..............3

Group Theoretic Cryptography .............................................11

Group Theory for High Energy Physicists ...............................34

Growth Curve Analysis and Visualization Using R ..................90

Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis ..........................................................6

H

Handbook of Applied Cryptography ......................................11

Handbook of Applied Statistics in Pharmacology ...................88

Handbook of Constrained Optimization ................................11

Handbook of Differential Entropy ..........................................41

Handbook of Elliptic and Hyperelliptic Curve Cryptography, Second Edition ...............................................11

Handbook of Finite Fields ......................................................11

Handbook of Finite State Based Models and Applications ........6

Handbook of Graph Drawing and Visualization .....................11

Handbook of Graph Theory, Second Edition ..........................12

Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis .........................................................................90

Handbook of Item Response Theory, Three Volume Set .........91

Handbook of Item Response Theory, Volume One .................91

Handbook of Item Response Theory, Volume Three ...............91

Handbook of Item Response Theory, Volume Two .................91

Handbook of Linear Algebra, Second Edition ...........................3

Handbook of Markov Chain Monte Carlo ..............................75

Handbook of Mathematics and Statistics for the Environment ..............................................................61

Handbook of Missing Data Methodology ..............................75

Handbook of Mixed Membership Models and Their Applications ...........................................................75

Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition ........................................75

Handbook of Peridynamic Modeling .....................................21

Handbook of SAS® DATA Step Programming .........................57

Handbook of Spatial Point-Pattern Analysis in Ecology ...........61

Handbook of Spatial Statistics ................................................75

Handbook of Statistical Analyses using R, Third Edition ..........57

Handbook of Statistical Analyses using SAS, Third Edition ......57

Handbook of Statistical Analyses Using Stata, Fourth Edition ..57

Handbook of Statistical Graphics Using SAS ...........................58

Handbook of Statistics in Clinical Oncology, Third Edition .....52

Handbook of Survival Analysis ...............................................53

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition ..............................................91

Handbook on Soft Computing for Video Surveillance ............23

Handling Missing Data in Social Research ..............................91

Hidden Markov Models for Time Series: An Introduction Using R ........................................................76

Higher Order Derivatives .......................................................42

Homogenization: Applications to the Biological and Physical Sciences.............................................................15

I

Illustrated Introduction to Topology and Homotopy ..............20

Image Analysis, Classification, and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL, Second Edition ........................................................................6

Image Processing for Cinema ................................................23

Image Statistics in Visual Computing .....................................91

Implementing Reproducible Research ....................................58

Improper Riemann Integrals ..................................................42

Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys ........91

Interpreting and Visualizing Regression Models Using Stata ...76

Interval-Censored Time-to-Event Data: Methods and Applications ...........................................................................53

Introduction to Algebraic Geometry ........................................4

Introduction to Analysis .........................................................42

Introduction to Beam Physics ................................................34

Introduction to Biological Networks ......................................48

Introduction to Closure Systems ............................................12

Introduction to Computational Modeling Using C and Open-Source Tools .........................................................21

Introduction to Credit Risk Modeling, Second Edition............31

Introduction to Ecological Sampling ......................................61

Introduction to Exotic Option Pricing ....................................31

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Introduction to Generalized Linear Models, Third Edition ......76

Introduction to High Performance Computing for Scientists and Engineers .........................................................36

Introduction to Linear Optimization and Extensions with MATLAB® .......................................................................39

Introduction to Mathematical Logic, Fifth Edition ..................46

Introduction to Mathematical Modeling and Chaotic Dynamics .................................................................21

Introduction to Mathematical Proofs: A Transition .................46

Introduction to MATLAB with Applications for Chemical and Mechanical Engineers......................................27

Introduction to Mechanical Engineering: Part 1 .....................27

Introduction to Mechanical Engineering: Part 2 .....................27

Introduction to Modern Cryptography: Principles and Protocols .........................................................12

Introduction to Number Theory with Cryptography ................5

Introduction to Numerical Analysis and Scientific Computing .............................................................36

Introduction to Numerical and Analytical Methods with MATLAB® for Engineers and Scientists ...................................37

Introduction to Numerical Methods and Optimization ..........36

Introduction to Numerical Methods: A MATLAB Approach, Third Edition .......................................37

Introduction to Partial Differential Equations for Scientists and Engineers Using Mathematica.........................................15

Introduction to Partial Differential Equations with MATLAB, Second Edition ...............................................15

Introduction to Physical Oncology: Towards Transitional Application of Multiscale Cancer Modeling............................24

Introduction to Reversible Computing ...................................37

Introduction to Risk Parity and Budgeting..............................31

Introduction to Scientific Programming and Simulation Using R, Second Edition .........................................................58

Introduction to Semi-Supervised Learning .............................69

Introduction to Set Theory, Third Edition, Revised and Expanded ...........................................................46

Introduction to Spatial Econometrics .....................................85

Introduction to Statistical Data Analysis for the Life Sciences ...89

Introduction to Statistical Process Control..............................67

Introduction to Stochastic Calculus with Applications ............41

Introduction to Stochastic Processes, Second Edition .............65

Introduction to Stock Portfolio Management .........................31

Introduction to Systems Biology: Design Principles of Biological Circuits ..............................................................24

Introduction to the Bootstrap ................................................76

Introduction to the Calculus of Variations and Control with Modern Applications .....................................................15

Introduction to Time Series using Stata..................................64

Isosurfaces: Geometry, Topology, and Algorithms ..................20

Iterative Optimization in Inverse Problems .............................39

J/L

Joint Models for Longitudinal and Time-to-Event Data: With Applications in R............................................................53

Laser Beam Propagation: Generation and Propagation of Customized Light ....................................................................7

Latent Markov Models for Longitudinal Data .........................92

Level of Martin-Lof Randomness ............................................34

Limits of Computation: An Introduction to the Undecidable and the Intractable ............................................46

Linear Algebra and Matrix Analysis for Statistics .....................76

Linear Algebra and Probability for Computer Science Applications ...........................................................................27

Linear Mixed Models: A Practical Guide Using Statistical Software.................................................................58

Linear Models with R .............................................................76

Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management ....................................................................8

Linear Programming with Duals: A Modern Exposition ..........40

LMIs in Control Systems: Analysis, Design and Applications ...27

Logistic Regression Models ....................................................77

Lozi Mappings: Theory and Applications ...............................22

M

Machine Learning: An Algorithmic Perspective, Second Edition ........................................................................6

Managing Your Biological Data with Python ..........................49

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition ..................................77

Math and Art: An Introduction to Visual Mathematics ...........18

Mathematical Card Magic: Fifty-Two New Effects ..................44

Mathematical Modeling: Models, Analysis and Applications ..22

Mathematical Morphology in Geomorphology and GISci ......28

Mathematical Optics: Classical, Quantum, and Computational Methods.................................................34

Mathematical Techniques for Wave Interaction with Flexible Structures ..........................................................28

Mathematics and Music: Composition, Perception, and Performance ...................................................................18

Mathematics Companion: Mathematical Methods for Physicists and Engineers, Second Edition ..........................34

Mathematics: A Minimal Introduction ...................................47

Maximum Likelihood Estimation for Sample Surveys .............77

Mean Field Simulation for Monte Carlo Integration ...............77

Measure and Integral: An Introduction to Real Analysis .........43

Measure Theory and Fine Properties of Functions ..................28

Mechanical Logic in Three-Dimensional Space ......................47

Medical Applications of Artificial Intelligence .........................49

Medical Biostatistics, Third Edition .........................................53

Mendelian Randomization: Statistical Methods for Using Genes to Estimate Causal Associations ....................77

Meshless Methods and Their Numerical Properties ................28

Methodology in Robust and Nonparametric Statistics ...........77

Methods in Brain Connectivity Inference through Multivariates Time Series Analysis ..........................................53

Methods of Statistical Model Estimation ................................58

Microarray Image and Data Analysis: Theory and Practice .....49

Mimetic Discretization Methods ............................................15

Model-Based Tracking Control of Nonlinear Systems .............22

Modeling and Analysis of Stochastic Systems, Second Edition .87

Modeling and Control for Micro/Nano Devices and Systems...24

Modeling and Inverse Problems in the Presence of Uncertainty........................................................................22

Modelling and Quantitative Methods in Fisheries, Second Edition ......................................................................89

Modelling Survival Data in Medical Research, Second Edition ......................................................................53

Modern Stream Ciphers: Design and Analysis ........................12

Modern Survey Sampling ......................................................78

Monte Carlo Simulation with Applications to Finance ............32

Multi-Digital Terrain Modeling and Fusion for Environmental Analysis .....................................................61

Multi-Label Dimensionality Reduction ...................................70

Multilevel and Longitudinal Modeling Using Stata, Volume I: Continuous Responses, Third Edition .....................78

Multilevel and Longitudinal Modeling Using Stata, Volume II: Categorical Responses, Counts, and Survival, Third Edition ...78

Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition ...............................................78

Multilevel Modeling Using R ..................................................78

Multiple Factor Analysis by Example Using R .........................58

Multistage Separation Processes, Fourth Edition ....................28

Multivariate Bonferroni-type Inequalities: Theory and Applications ....................................................................78

Multivariate Statistical Methods: A Primer, Third Edition ........64

Multivariate Survival Analysis and Competing Risks ...............54

N

Navigating Strategic Decisions: The Power of Sound Analysis and Forecasting .......................85

Near Rings, Fuzzy Ideals, and Graph Theory ............................4

Network and Adaptive Sampling ...........................................79

Networked Multisensor Decision and Estimation Fusion: Based on Advanced Mathematical Methods ..........................28

New Directions of Modern Cryptography..............................12

Next Generation Sequencing: Platforms, Resources and Data Analysis ..................................................................49

Nonlinear Optimal Control Theory ........................................15

Nonlinear Option Pricing .......................................................32

Nonlinear Physics of Ecosystems ............................................35

Nonlinear Times Series: Theory, Methods and Applications with R Examples ....................................................................79

Nonparametric Methods in Statistics with SAS Applications ...79

Nonparametric Statistical Inference, Fifth Edition ...................79

Nonparametric Statistical Methods Using R ...........................78

Nonparametric Statistics for Social and Behavioral Sciences ...92

Nonparametric Statistics on Manifolds and Their Applications ..................................................................79

Number, Shape, & Symmetry: An Introduction to Number Theory, Geometry, and Group Theory .....................18

Numerical and Analytical Methods with MATLAB for Electrical Engineers ................................................................37

Numerical Methods for Chemical Engineers Using Excel, VBA, and MATLAB ..........................................................................29

Numerical Methods for Engineers and Scientists Using MATLAB® .....................................................................29

Numerical Methods for Engineers and Scientists, Third Edition ..........................................................................29

Numerical Methods for Equations and its Applications ..........37

O/P

On Numbers and Games .......................................................16

Optical Communications: Computational Techniques and Design with MATLAB®.....................................................29

Optimal Design for Nonlinear Response Models ....................54

Optimal Estimation of Dynamic Systems, Second Edition ......29

Optimization with Maple for Engineers and Scientists ...........40

Ordinary and Partial Differential Equations ..............................8

Origami Design Secrets: Mathematical Methods for an Ancient Art, Second Edition .........................................44

Origami Tessellations: Awe-Inspiring Geometric Designs .......44

Ornamental Origami: Exploring 3D Geometric Designs .........44

Paradoxes in Scientific Inference ............................................64

Parallel Computation in Data Science: With Examples in R ....59

Parallel Mesh Generation: Theory and Practice ......................37

Parallel Science and Engineering Applications: The Charm++ Approach ........................................................38

Partial Differential Equations: Topics in Fourier Analysis ..........16

Past, Present and Future of Statistical Science ........................79

Patient-Reported Outcomes: Measurement, Implementation and Interpretation .......................................54

Patterns in Excitable Media: Genesis, Dynamics and Control ..24

96

Title Ind

ex


Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications, Fourth Edition ............................24

Physical Oceanography: A Mathematical Introduction with MATLAB .........................................................................29

Physics Companion, Second Edition ......................................19

Physics of Continuous Media: Problems and Solutions in Electromagnetism, Fluid Mechanics and MHD, Second Edition ..8

Pierre Gy’s Sampling Theory and Sampling Practice, Second Edition: Heterogeneity, Sampling Correctness, and Statistical Process Control ...............................................80

Power Electronic Systems: Walsh Analysis with MATLAB® .......30

Practical Graph Mining with R ...............................................70

Practical Lean Accounting: A Proven System for Measuring and Managing the Lean Enterprise, Second Edition ...............32

Practical Linear Algebra: A Geometry Toolbox, Third Edition ...4

Practical Multivariate Analysis, Fifth Edition ............................80

Practical Statistics for Medical Research .................................54

Pricing in General Insurance ..................................................85

Principles of Copula Theory ...................................................85

Principles of Uncertainty ........................................................80

Probabilistic Models for Dynamical Systems, Second Edition ....87

Probability and Statistics for Computer Scientists, Second Edition ......................................................................59

Probability and Statistics with R .............................................65

Probability and Statistics: A Didactic Introduction ..................80

Probability and Stochastic Modeling ......................................41

Probability Foundations for Engineers ....................................40

Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition ...................................................87

Programming Graphical User Interfaces in R ..........................59

Project Origami: Activities for Exploring Mathematics, Second Edition ......................................................................45

Puzzles, Paradoxes, Problems: An Introduction to Mathematical Thinking......................................................19

Q/R

Quadratic Irrationals: An Introduction to Classical Number Theory .........................................................5

Quality Management for Organizations Using Lean Six Sigma Techniques ....................................................80

Quantitative Ecotoxicology, Second Edition ...........................61

Quantitative Equity Portfolio Management: Modern Techniques and Applications ....................................32

Quantitative Evaluation of Safety in Drug Development: Design, Analysis and Reporting ..............................................54

Quantitative Finance: A Simulation-Based Introduction Using Excel ........................................................32

Quantitative Finance: An Object-Oriented Approach in C++...32

Quantitative Graph Theory: Mathematical Foundations and Applications ....................................................................12

Quantitative Operational Risk Models ....................................86

Quantum Information and Computation ...............................35

Quantum Optics for Beginners ..............................................30

Quasi-Least Squares Regression .............................................80

R for Statistics ........................................................................64

R Graphics, Second Edition ....................................................59

R Student Companion ...........................................................64

Random Dynamical Systems in Finance .................................86

Randomized Phase II Cancer Clinical Trials .............................54

Randomized Response-Adaptive Designs in Clinical Trials ......55

RapidMiner: Data Mining Use Cases and Business Analytics Applications ..............................................70

Real Analysis and Foundations, Third Edition .........................43

Regression Models as a Tool in Medical Research ...................55

Reliability and Maintenance: Networks and Systems ..............40

Reliability Engineering and Risk Analysis: A Practical Guide, Second Edition ..........................................67

Reliability Models for Engineers and Scientists .......................65

Reproducible Research with R and RStudio ............................59

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects .............................81

Risk Analysis in Engineering and Economics, Second Edition ..87

Risk Management and Simulation .........................................33

RNA-seq Data Analysis: A Practical Approach .........................49

Robust Clustering and Selection ............................................81

Robust Response Surfaces, Regression, and Positive Data Analyses ............................................................81

S

SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition ................................................59

Scale in Spatial Information and Analysis ...............................61

Schrödinger’s Killer App: Race to Build the World’s First Quantum Computer ..............................................................19

Secret History: The Story of Cryptology .................................13

Sensory Data Analysis by Example with R ..............................60

Separable Galois Theory of Commutative Rings, Second Edition ........................................................................4

Sequential Analysis: Hypothesis Testing and Change-Point Detection ........................................................81

Simple Solutions to Energy Calculations, Fifth Edition ............30

Simulating Nature: A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition.............................62

Simulation of Dynamic Systems with MATLAB and Simulink, Second Edition ................................................22

Soccermetrics: Science of Soccer Statistics .............................65

Software Engineering: The Current Practice .............................6

Solution Techniques for Elementary Partial Differential Equations, Second Edition .....................................................16

Spatial Analysis Methods of Road Traffic Crashes ...................92

Spatial Data Analysis in Ecology and Agriculture Using R .......62

Spatial Mathematics: Theory and Practice through Mapping ...8

Spatial Temporal Information Systems: An Ontological Approach using STK® .............................................................62

Stated Preference Methods Using R .......................................92

Stationary Stochastic Processes for Scientists and Engineers ...81

Stationary Stochastic Processes: Theory and Applications ......81

Statistical Analysis of Human Growth and Development ........55

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata .............................................................92

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition ...........................................................82

Statistical and Computational Methods in Brain Image Analysis .................................................................................55

Statistical and Econometric Methods for Transportation Data Analysis, Second Edition ................................................88

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition ......................................................................86

Statistical Computing in C++ and R .......................................60

Statistical Computing with R .................................................60

Statistical Geoinformatics for Human Environment Interface...62

Statistical Guide for the Ethically Perplexed............................92

Statistical Inference Based on the likelihood ...........................82

Statistical Inference: An Integrated Approach, Second Edition ..82

Statistical Methods for Financial Engineering .........................86

Statistical Methods for Handling Incomplete Data .................82

Statistical Methods for QTL Mapping ....................................56

Statistical Methods for Stochastic Differential Equations ........82

Statistical Methods for the Study of Undeciphered Lanquages ........................................70

Statistical Methods in Health Economic Evaluation Using SAS ...55

Statistical Methods with Applications to Demography and Life Insurance .................................................................65

Statistical Reinforcement Learning: Modern Machine Learning Approaches .............................................................70

Statistical Techniques for Project Control ...............................66

Statistical Theory: A Concise Introduction ..............................82

Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition ........................................56

Statistics for Epidemiology .....................................................56

Stochastic Cauchy Problems in Infinite Dimensions: Generalized and Regularized Solutions ..................................16

Stochastic Dynamics for Systems Biology...............................24

Stochastic Finance: An Introduction with Market Examples ...86

Stochastic Flows ....................................................................66

Stochastic H2/H ∞ Control: A Nash Game Approach .............17

Stochastic Modeling for Systems Biology: Second Edition......55

Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists..................83

Stochastic Partial Differential Equations, Second Edition ........16

Stochastic Processes with Applications to Finance, Second Edition ......................................................................86

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions....................................................70

Survival Analysis in Medicine and Genetics ............................56

Symmetries of Things ............................................................45

Synthetic Gene Network: Modeling, Analysis and Robust Design Methods..................................................25

Systems Biology: Mathematical Modeling and Model Analysis ................................................................25

Systems Science: Methodological Approaches .........................8

T/U

Technical Analysis of Stock Trends, Tenth Edition ...................33

Theory of Drug Development ................................................56

Theory of Factorial Design: Single- and Multi-Stratum Experiments...........................................................................83

Time Series Modeling of Neuroscience Data ..........................83

Time Series with Mixed Spectra .............................................88

Time Series: Modeling, Computation, and Inference .............83

TOP500: History, Trends, and Future Directions in High Performance Computing ...............................................38

Transcendental Representations with Applications to Solids and Fluids ....................................................................13

Translational Medicine: The Future of Therapy? .....................49

Turning a Sphere Inside Out (DVD) .......................................19

Understanding Advanced Statistical Methods ........................83

Understanding Mathematical Proof .......................................47

Understanding Probability Theory and Problems ...................66

Undocumented Secrets of MATLAB-Java Programming ...........7

Unexpected Expectations: The Curiosities of a Mathematical Crystal Ball ......................................................45

Universal Computer: The Road from Leibniz to Turing ...........47

Using R for Introductory Statistics, Second Edition .................64

Using R for Numerical Analysis in Science and Engineering....38

V/WX

Value-Added Decision Making for Managers..........................40

Variational Methods in Image Processing ...............................23

Visual Guide to Stata Graphics, Third Edition .........................65

Visualization and Verbalization of Data ..................................83

Weakly Connected Nonlinear Systems: Boundedness and Stability of Motion .................................................................16

Wearing Gauss’s Jersey ...........................................................45

Writing Dissertation and Grant Proposals: Epidemiology, Preventive Medicine and Biostatistics .....................................56

XML in Scientific Computing .................................................38

Aut

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r In

dex

97


A

Abramovich; Felix ..................................................................82

Acevedo; Miguel F. ................................................................60

Acock; Alan C. .................................................................63, 73

Adhikari; Ronojoy ..................................................................70

Adzievski; Kuzman .................................................................15

Afifi; Abdelmonem.................................................................80

Agah; Arvin ...........................................................................49

Aggarwal; Charu C. ...............................................................68

Agustiady; Tina ......................................................................66

Aho; Ken A. ...........................................................................88

Ahuactzin; Juan-Manuel .........................................................67

Airoldi; Edoardo M. ...............................................................75

Aizaki; Hideo..........................................................................92

Albert; Jim .............................................................................62

Alemayehu; Demissie .............................................................54

Alieva; Tatiana .......................................................................34

Aliyev; A. G. ...........................................................................21

Allen; Randal .........................................................................22

Al-Mezel; Saleh Abdullah R. ...................................................42

Alon; Uri ................................................................................24

Al-Solamy; Falleh Rajallah M. .................................................42

Altman; Douglas G. ...............................................................54

Altman; Tom..........................................................................43

Altman; Yair M. ........................................................................7

Alvir; Jose M. .........................................................................54

Anderson; Marlow ...................................................................3

Anderson; Tessa .....................................................................92

Ansari; Qamrul Hasan ......................................................39, 42

Argyros; Ioannis K. .................................................................37

Arlinghaus; Sandra Lach ..........................................................8

Armstrong; David A. .............................................................89

Arnholt; Alan T. ......................................................................65

Atkinson; Anthony C..............................................................55

Atkinson; Peter ......................................................................61

Auletta; Gennaro ...................................................................47

Avanzi; Roberto .....................................................................11

Ayyub; Bilal M. ......................................................................87

Azzalini; Adelchi.....................................................................82

B

Baccala; Luiz Antonio .............................................................53

Bacci; Silvia ............................................................................92

Badiru; Adedeji B. ..................................................................66

Baggaley; Bruce .....................................................................32

Bahi; Jacques M. ....................................................................14

Bailey; James ..........................................................................68

Baio; Gianluca .......................................................................51

Baker; Ellie .............................................................................43

Bakker; Ryan ..........................................................................89

Banerjee; Sandip ....................................................................22

Banerjee; Sudipto ..................................................................76

Banks; David L. ......................................................................79

Banks; H. Thomas ..................................................................22

Banks; H.T. .............................................................................42

Barbero; Ever J. ......................................................................26

Barillot; Emmanuel ................................................................48

Barnett; Adrian ......................................................................76

Baron; Michael ......................................................................59

Barragués; José I. ...................................................................80

Bartolucci; Francesco .............................................................92

Bassetti; W.H.C. .....................................................................33

Basseville; Michele .................................................................81

Bauer; Craig P. .......................................................................13

Becketti; Sean ........................................................................64

Beichelt; Frank .......................................................................40

Beissinger; Janet ....................................................................18

belcastro; sarah-marie ............................................................10

Bell; William R. .......................................................................85

Belozerova; Tatyana .................................................................8

Benaim; Michel......................................................................24

Benaroya; Haym ....................................................................87

Benoit; Anne ............................................................................6

Berglund; Patricia A. ..............................................................89

Berkovitz; Leonard David .......................................................15

Berry; Scott M. ......................................................................50

Bertalmío; Marcelo ................................................................23

Berz; Martin ...........................................................................34

Bessière; Pierre .......................................................................67

Best; Nicky.............................................................................63

Bhatele; Abhinav ...................................................................38

Bhowmick; Partha....................................................................7

Bielecki; Tomasz R. .................................................................30

Bilder; Christopher R. .............................................................71

Biswas; Atanu ........................................................................55

Blasius; Jorg ...........................................................................83

Blei; David .............................................................................75

Bloomfield; Victor A. ..............................................................38

Bluhm; Christian ....................................................................31

Bobaru; Florin ........................................................................21

Bober; William .................................................................37, 86

Bolancé; Catalina ...................................................................86

Bolin; Jocelyn E. .....................................................................78

Bollman; Mark .......................................................................43

Bona; Miklos ............................................................................9

Borowiak; Dale S....................................................................85

Bouwmans; Thierry ...............................................................22

Boyhan; George ....................................................................60

Braga da Costa Campos; Luis Manuel ..............................13, 14

Branscum; Adam J. ...............................................................72

Breiman; Leo .........................................................................72

Brigo; Damiano .....................................................................30

Broemeling; Lyle D. ...............................................................50

Brooks; Steve .........................................................................75

Broom; Mark .........................................................................23

Broström; Göran ....................................................................90

Brown; J. Scott .......................................................................91

Brown; Jason I. ......................................................................10

Buchen; Peter ........................................................................31

Bucholtz; Frank ......................................................................41

Buium; Alexandru ..................................................................47

Burgess; Stephen ...................................................................77

Burgiel ; Heidi ........................................................................45

Burgun; Keith ........................................................................17

Burkowski; Forbes J. ...............................................................48

Burns; John A. ........................................................................15

Bushmakin; Andrew G. ..........................................................54

Butenko; Sergiy .....................................................................36

Byrne; Charles L. ....................................................................39

C

Cacuci; Dan Gabriel ...............................................................26

Calvo; María L. ......................................................................34

Calzone; Laurence .................................................................48

Campbell; Elizabeth ...............................................................49

Campbell; Scott W. ................................................................26

Campolieti; Giuseppe ...........................................................30

Canbolat; Yavuz Burak ...........................................................40

Canty; Morton J. ......................................................................6

Cao; Zhenfu ..........................................................................12

Cappelleri; Joseph C. .............................................................54

Carini; Claudio.......................................................................51

Carlin; Bradley P. ..............................................................50, 72

Carlin; John B. .......................................................................72

Carroll; Royce A. ....................................................................89

Castiglione; Filippo ................................................................48

Castillo; Jose E. ......................................................................15

Celada; Franco.......................................................................48

Cerin; Christophe ..................................................................36

Chakraborti; Subhabrata ........................................................79

Chakraborty; Arpan ...............................................................70

Chambers; Raymond L. .........................................................77

Chan; Ivan S.F. ......................................................................52

Chang; Mark ...................................................................51, 64

Charpentier; Arthur ...............................................................84

Chartrand; Gary ....................................................................10

Chasan-Taber; Lisa ................................................................56

Chatfield; Chris ......................................................................62

Chatterji; Biswa Nath ...............................................................7

Chattopadhyay; Samiran .........................................................7

Chaudhuri; Arijit ..............................................................78, 79

Chawla; Nitesh ......................................................................67

Chelst; Kenneth .....................................................................40

Chen; Bor-Sen .......................................................................25

Chen; Ding-Geng (Din) ...................................................50, 53

Chen; John ............................................................................78

Chen; Ming-Hui.....................................................................60

Chen; Zehua..........................................................................56

Cheng; Ching-Shui ................................................................83

Cheng; Siu-Wing .....................................................................5

Chernetskaya; Larisa ..............................................................16

Chernikov; Andrey .................................................................37

Cheung; Yin Bun ...................................................................55

Childress; Nancy ......................................................................4

Cho; Ilwoo...............................................................................3

Cho; Yeol J. ............................................................................37

Chough; Keumhee Carrière ...................................................71

Chow; Pao-Liu .......................................................................16

Chow; Shein-Chung ..............................................................51

Chow; Shein-Chung ..............................................................52

Chowriappa; Pradeep ............................................................68

Chrisochoides; Nikos .............................................................37

98

Auth

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dex


Christensen; Ronald ...............................................................72

Chung; Moo K.......................................................................55

Clark; Suzanne Jane ...............................................................88

Clark; Virginia A. ....................................................................80

Clifford; Michael ....................................................................27

Coggeshall; Stephen..............................................................69

Cohen; Henri .........................................................................11

Coleman; Matthew P. ............................................................15

Collett; David ........................................................................53

Conery; John S. .......................................................................5

Constanda; Christian .............................................................16

Cont; Rama ...........................................................................31

Conway ; John H. ............................................................16, 45

Cooper; S. Barry ....................................................................46

Cornillon; Pierre-Andre ..........................................................64

Coronell; Daniel G. ................................................................27

Couturier; Raphael .................................................................35

Crassidis; John L. ....................................................................29

Crépey; Stéphane ..................................................................30

Cristini; Vittorio......................................................................24

Crowder; Martin J. .................................................................54

Crowley; John ........................................................................52

Cunningham; Douglas W. .....................................................91

D

Dalyot; Sagi ...........................................................................61

Das; Abhijit ..............................................................................4

Das; Partha Pratim ...................................................................7

Das; Rabindra Nath ...............................................................81

Das; Subrata ..........................................................................67

Dattagupta; Sushanta ............................................................33

Davies; Patrick Laurie .............................................................71

Davis; Ernest .........................................................................27

Davis; Martin .........................................................................47

Davison; Matt ........................................................................32

Daya Sagar; Behara Seshadri ..................................................28

de Leon; Alexander R. ............................................................71

Deb; Anish .............................................................................30

Dehmer; Matthias..................................................................12

Del Moral; Pierre ....................................................................77

Deng; Naiyang ......................................................................70

Dennis; Brian .........................................................................64

Der; Geoff..................................................................50, 57, 58

Dey; Tamal K. ..........................................................................5

Dieu; Vo Ngoc .........................................................................7

Diggle; Peter ...................................................................75, 82

Dobrushkin; Vladimir A. ........................................................13

Dobson; Annette J. ................................................................76

Doche; Christophe ................................................................11

Don; Gary W..........................................................................18

Dong; Guozhu.......................................................................68

Dongarra; Jack ......................................................................38

Dorogovtsev; Andrey .............................................................66

Douc; Randal .........................................................................79

Dowling; Jonathan P. .............................................................19

Doytsher; Yerach ...................................................................61

Draghici; Sorin ......................................................................56

Dray; Tevian ..........................................................................20

Dua; Sumeet .........................................................................68

Duan; Guang-Ren ..................................................................27

Duan; Xiaojun .........................................................................8

Duffy; Dean G. ......................................................................25

Dunn; Fletcher .......................................................................43

Dunson; David B. ..................................................................72

Durante; Fabrizio ...................................................................85

E

Edwards; Robert D. ................................................................33

Efron; Bradley ........................................................................76

Ekstrom; Claus Thorn.............................................................89

Elhadj; Zeraoulia ....................................................................22

Ellingson; Lief ........................................................................79

Emmert-Streib; Frank .............................................................12

Erosheva; Elena A. ..................................................................75

Esfandiari; Ramin S. ...............................................................29

Eubank; Randall L. .................................................................60

Evans; Lawrence Craig ...........................................................28

Everitt; Brian S. ..........................................................50, 57, 58

F

Fages; Francois ........................................................................5

Faraway; Julian J...............................................................74, 76

Farcomeni; Alessio .................................................................92

Farin; Gerald ............................................................................4

Faulin; Javier .........................................................................39

Fayyad; Dolly Khuwayri .........................................................36

Fedak; Gilles ..........................................................................36

Fedorov; Valerii V. ..................................................................54

Feil; Todd.................................................................................3

Felli; James .............................................................................51

Feng; Wu-chun ......................................................................36

Ficek; Zbigniew .....................................................................30

Fienberg; Stephen E. .............................................................75

Filinkov; Alexei .......................................................................16

Finch; W. Holmes ...................................................................78

Fischer-Cripps; Anthony Craig .........................................19, 34

Fitzmaurice; Garrett ...............................................................75

Forbes; Andrew .......................................................................7

Foster; John T. ........................................................................21

Frankel; Steven ......................................................................29

Freeden; Willi ...........................................................................7

Frey; Gerhard ........................................................................11

Friedman; Jerome ..................................................................72

Fry; Michael J. ........................................................................39

Fuentes; Montserrat ...............................................................75

Funada; Mariko .....................................................................43

G

Gabrielsson; Johan .................................................................24

Galecki; Andrzej T ..................................................................58

Gamerman; Dani .............................................................77, 82

Gandhi; S. Jimmy.....................................................................7

Gandrud; Christopher ...........................................................59

Ganguli; Ranjan .....................................................................87

Gariepy; Ronald F...................................................................28

Garnier; Rowan ......................................................................47

Garrido; Jose M. ....................................................................21

Garvey; Paul R. ......................................................................87

Gautam; Natarajan ................................................................38

Geiser; Juergen ......................................................................35

Gelfand; Alan E. .....................................................................75

Gelman; Andrew .............................................................72, 75

Genest; Christian ...................................................................79

Gerhards; Christian ..................................................................7

Geskus; Ronald ......................................................................50

Geubelle; Philippe H ..............................................................21

Gezan; Salvador Alejandro .....................................................88

Ghosh; Suchismita .................................................................30

Gibbons; Jean Dickinson ........................................................79

Gilbert; Robert P. ...................................................................15

Gill; Jeff ..................................................................................90

Girolami; Mark .....................................................................69

Gjerde; Eric ............................................................................44

Gnaldi; Michela .....................................................................92

Goldrei; D.C. .........................................................................45

Goldstine; Susan ....................................................................43

Good; Phillip I. .......................................................................63

Goodchild; Michael ...............................................................61

Goodman-Strauss ; Chaim .....................................................45

Gordon; Paul M.K. .................................................................48

Gorod; Alex .............................................................................7

Grasman; Scott E. ..................................................................39

Grasso; Larry ..........................................................................32

Greenacre; Michael ...............................................................83

Gross; Jonathan L. ...........................................................10, 12

Guenther; Ronald B. ..............................................................37

Guha; Sumanta .....................................................................21

Guillén; Montserrat................................................................86

Guisasola; Jenaro ...................................................................80

Gulick; Denny ........................................................................14

Gupta; Aparna .......................................................................33

Gustafson; Paul ......................................................................72

Gustafsson; Jim ......................................................................86

Guttorp; Peter .......................................................................75

Guyader; Arnaud ...................................................................64

Guyeux; Christophe ...............................................................14

Guyon; Julien .........................................................................32

H

Hachiya; Hirotaka ..................................................................70

Haddon; Malcolm..................................................................89

Hager; Georg.........................................................................36

Hall; John K. ..........................................................................61

Halter-Koch; Franz ...................................................................5

Hambleton; Ronald K. ...........................................................91

Hansford; Dianne ....................................................................4

Hanson; Timothy E. ...............................................................72

Hardin; James W. ...................................................................74

Hardin; James W. ...................................................................75

Hardoon; David Roi ...............................................................69

Hare; Christopher ..................................................................89

Hathout; Dean .......................................................................45

Hayette; Gatfaoui ..................................................................31

He; Hua .................................................................................71

Heeringa; Steven G. ...............................................................89

Aut

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99


Hendrix; William ...................................................................70

Henner; Victor .........................................................................8

Henning; Kevin S. S. .............................................................83

Henry-Labordere; Pierre .........................................................32

Herbert; Katherine G. ............................................................47

Herman; Russell L. .................................................................33

Hernan; Miguel A. .................................................................51

Herrmann; Diane L. ...............................................................18

Higgins; Matthew ..................................................................29

Hilbe; Joseph M. ........................................... 58, 74, 75, 77, 80

Hilout; Saïd ............................................................................37

Hirsa; Ali ...............................................................................30

Ho; Robert .............................................................................91

Hodge; Jonathan K. .................................................................3

Hodges; James S. ...................................................................81

Hoering; Antje .......................................................................52

Höferlin; Benjamin .................................................................22

Hoffman; Joe D. .....................................................................29

Hofmann; Markus ..................................................................70

Hogben; Leslie .........................................................................3

Holan; Scott H. ......................................................................85

Holmgren; Eric B. ..................................................................56

Hopcraft; Keith Iain................................................................41

Horton; Nicholas. J ................................................................59

Hosking; Antony ......................................................................6

Hothorn; Torsten ...................................................................57

Hrbacek; Karel .......................................................................46

Hsiao; Chin-Fu .......................................................................52

Hu; Shuhua ...........................................................................22

Hua; Ronald H. ......................................................................32

Huang; Jih-Jeng .....................................................................39

Hubert; Lawrence ..................................................................92

Hull; Thomas .........................................................................45

Hupe; Philippe .......................................................................48

Husson; Francois ....................................................................64

I/J

Ibrahim; Joseph G. .................................................................53

Igarashi; Yoshihide .................................................................43

Indrayan; Abhaya ..................................................................53

Ionescu-Bujor; Mihaela ..........................................................26

Ireland; Vernon ........................................................................7

Islam; Shafiqul ......................................................................86

Israel; D. ................................................................................84

Iyengar; Satteluri R. K. ...........................................................21

Iyengar; T. K.V. ......................................................................13

Jackson; Chris ........................................................................63

Jakeman; Eric .........................................................................41

Jamison; Robert E. .................................................................12

Jarzebowska; Elzbieta .............................................................22

Jech; Thomas .........................................................................46

Jegou; Nicolas .......................................................................64

Jenkins; John .........................................................................70

Jewell; Nicholas P. ..................................................................56

Ji; Shuiwang ..........................................................................70

Jiang; Qi ................................................................................54

Johansson; Thomas ................................................................12

Johnson; Clayton Matthew ....................................................46

Johnson; Mark J. ......................................................................5

Johnson; Wesley O. ...............................................................72

Jones; Byron .........................................................................52

Jones; Erick ............................................................................80

Jones; Galin ...........................................................................75

Jones; Owen ..........................................................................58

Jones; Richard ..........................................................................6

Josse; Julie ..............................................................................64

Juan; Angel A. ........................................................................39

Jung; Sin-Ho ..........................................................................54

Junkins; John L. ......................................................................29

Jurecková; Jana ......................................................................77

K

Kadane; Joseph B. ..................................................................80

Kalajdzievski; Sasho ...............................................................18

Kalajdzievski; Sasho ...............................................................20

Kale; Laxmikant V. .................................................................38

Kaminskiy; Mark P. ...........................................................65, 67

Kamiyama; Barbara................................................................43

Kar; S.K. .................................................................................26

Karlaftis; Matthew G. .............................................................88

Katz; Jonathan .......................................................................12

Kelley; Ken .............................................................................78

Kelso; T.S. ..............................................................................62

Kenward; Michael G. .......................................................52, 75

Kerski; Joseph J. .......................................................................8

Kessler; Mathieu ....................................................................82

Khan; Iftekhar ........................................................................55

Kharab; Abdelwahab .............................................................37

Khenner; Mikhail .....................................................................8

Khmaladze; Estáte V. ..............................................................65

Khoury; Fouad M. ..................................................................28

Khrennikov; Andrei ................................................................33

Kijima; Masaaki ......................................................................86

Kim; Hwi ...............................................................................27

Kim; Jae Kwang .....................................................................82

King; Irwin ............................................................................69

Kirkland; Stephen J. .................................................................3

Klee; Harold ...........................................................................22

Klein; John P. .........................................................................53

Kleinman; Ken .......................................................................59

Klima; Richard E. ....................................................................18

Klinkenberg; Ralf....................................................................70

Kloareg; Maela ......................................................................64

Kloke; John ...........................................................................78

Kobayashi; Katsumi ...............................................................88

Kohler; Ulrich.........................................................................63

Korosteleva; Olga ..................................................................79

Korpelainen; Eija ....................................................................49

Kraft; James S. .........................................................................5

Krantz; Steven G. ...................................................................42

Krantz; Steven G. ...................................................................43

Krantz; Steven G. ...................................................................46

Kraska-MIller; Marie ...............................................................92

Kremling; Andreas .................................................................25

Kreuter; Frauke ......................................................................63

Krider; Robert E. ....................................................................84

Krishnamoorthi; K.S. ..............................................................67

Krishnamoorthi; V. Ram .........................................................67

Krivtsov; Vasiliy ......................................................................67

Kuang; Yang ..........................................................................23

Kulkarni; Vidyadhar G. ...........................................................87

Kumar; Ajit ............................................................................41

Kumaresan; S. ........................................................................41

Kuo; Lynn ..............................................................................60

Kupper; Lawrence L. ..............................................................73

Kupresanin; Ana ....................................................................60

Kwon; Roy H. ........................................................................39

Kythe; Dave K. .......................................................................25

Kythe; Prem K. .......................................................................25

L

Laguna; Manuel.....................................................................39

Lai; Tze Leung .......................................................................84

Lakshminarayanan; Vasudevan ..............................................34

Lalitha; C. S. ..........................................................................39

Land; Kenneth C....................................................................89

Lang; Robert J. .......................................................................44

Lange; Tanja ..........................................................................11

Law; Victor J. .........................................................................29

Lawler; Gregory F.............................................................41, 65

Lawrence; Michael .................................................................59

Lawson; Andrew B. ................................................................50

Lawson; John .........................................................................73

Le; Sebastien .........................................................................60

Lee; Byoungho ......................................................................27

Lee; J. Jack .............................................................................50

Leeson; Mark .........................................................................29

Leisch; Friedrich .....................................................................58

Leonov; Sergei L. ..................................................................54

LeSage; James ........................................................................85

Lesniak; Linda .......................................................................10

Levine; Evan S. .......................................................................38

Lewis; Charles .......................................................................90

Lewis; Nigel Da Costa ............................................................31

Lewis; Paul O. ........................................................................60

Li; Arthur ...............................................................................57

Li; Guangyong .......................................................................24

Li; Hua ...................................................................................28

Li; Jialiang ..............................................................................56

Li; Ta-Hsin ..............................................................................88

Li; Tao ....................................................................................69

Liao; Ming .............................................................................40

Liebeck; Martin ......................................................................17

Ligges; Uwe ...........................................................................57

Lin; Xihong ............................................................................79

Lin; Yi ......................................................................................8

Lindell; Yehuda ......................................................................12

Lindgren; Georg ....................................................................81

Lindner; Alexander ................................................................82

Ling; San .................................................................................8

Liu; Jen-pei ............................................................................52

Loo; Becky PY ........................................................................92

Lopes; Hedibert F. ..................................................................77

Loughin; Thomas M. .............................................................71

100

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Louis; Thomas A. ...................................................................72

Louzada-Neto; Francisco .......................................................82

Lunn; David ...........................................................................63

Luo; Yingting .........................................................................28

Lynch; Scott M. .....................................................................91

M

Ma; Shuangge .......................................................................56

MacDonald; Iain L. ................................................................76

Maddalena; Lucia ..................................................................23

Magee; John ..........................................................................33

Magid; Andy R.........................................................................4

Magliveras; Spyros .................................................................11

Magoules; Frederic ................................................................35

Maillardet; Robert ..................................................................58

Makarov; Roman ...................................................................30

Makino; Kyoko ......................................................................34

Malek-Madani; Reza ..............................................................29

Manly; Bryan F.J. ..............................................................61, 64

Mannering; Fred L. ................................................................88

Mansour; Toufik .......................................................................9

Marchi; Max ..........................................................................62

Marklund; Johan ...................................................................39

Marsland; Stephen ..................................................................6

Martinez; Angel .....................................................................69

Martinez; Wendy L. ...............................................................69

Martynyuk; Anatoly ...............................................................16

Martynyuk; Vladislav ..............................................................16

Maskell; Brian H. ....................................................................32

Matloff; Norman ...................................................................59

Matzner-Lober; Eric ...............................................................64

Maurer; Stephen B. ...............................................................10

Max; Nelson L. ......................................................................19

May; Susanne ........................................................................80

Mazer; Emmanuel .................................................................67

Mazza; Christian ....................................................................24

McCrea; Rachel S...................................................................88

McCuen; Richard H. ..............................................................87

McCullagh; P. ........................................................................74

McDowall; Jennifer S. ............................................................49

McElroy; Tucker S. .................................................................85

McKean; Joseph ....................................................................78

McKibben; Mark ....................................................................14

McNeil; Linda M. ...................................................................62

Mead; Andrew .......................................................................88

Medhin; Negash G. ...............................................................15

Mehta; Monika ......................................................................39

Meier; Willi ............................................................................12

Mekhnacha; Kamel ................................................................67

Melnikova; Irina V. .................................................................16

Mena; Jesus ...........................................................................84

Mendelson; Elliott ..................................................................46

Menezes; Alfred J. ..................................................................11

Meng; Xiao-Li ........................................................................75

Menon; Sandeep M ...............................................................51

Merkle; Edgar C. ....................................................................90

Meron; Ehud .........................................................................35

Mersmann; Olaf ...................................................................57

Meuer; Hans Werner ..............................................................38

Mi Han; Seon ........................................................................87

Michalowicz; Joseph Victor ....................................................41

Mickens; Ronald E. ................................................................14

Migon; Helio S.......................................................................82

Militino; Ana F. ......................................................................65

Milne; Christopher-Paul ........................................................49

Miranda; Guillermo F. ............................................................15

Mirkin; Boris ..........................................................................57

Mirman; Daniel .....................................................................90

Mitchell; Michael N. ........................................................65, 76

Mittra; James .........................................................................49

Modarres; Mohammad ..........................................................67

Mohan; B.M. .........................................................................26

Molenberghs; Geert ........................................................75, 79

Molitierno; Jason J. ..................................................................9

Moloney; Kirk A. ....................................................................61

Mompart; Jordi ......................................................................33

Morais; Adolfo .......................................................................80

Morgan; Byron J. T.................................................................88

Morimura; Tetsuro .................................................................70

Moss; Eliot ...............................................................................6

Moulines; Eric ........................................................................79

Mukerji; Meenakshi ...............................................................44

Mukhopadhyay; Jayanta ..........................................................7

Mukhopadhyay; Satya ...........................................................42

Mulay; Shantanu S. ...............................................................28

Mulcahy; Colm ......................................................................44

Mullen; Gary L. ......................................................................11

Muller; Peter ..........................................................................50

Murrell; Paul ..........................................................................59

Myers; Wayne L. ....................................................................62

N

Nachlas; Joel A. ......................................................................40

Nagurka; Mark ......................................................................87

Nagy; John ............................................................................23

Nakahara; Mikio ....................................................................20

Nakatani; Tomoaki .................................................................92

Nandi; Mridul ........................................................................66

Nassif; Nabil ..........................................................................36

Naumann; Uwe .......................................................................9

Navarro Alberto; Jorge A. .......................................................61

Navon; Ionel Michael ............................................................26

Neelon; Brian. H ....................................................................73

Nelder; John A. ......................................................................74

Neumann; Michael ..................................................................3

Newcombe; Robert G. ...........................................................72

Newman; Michael C. .............................................................61

Nguyen; Kim .........................................................................11

Nichols; Jonathan M. .............................................................41

Nielsen; Jens Perch ................................................................86

Nikiforov; Igor ......................................................................81

Noel; Rebecca .......................................................................51

Nourani; Cyrus F. ...................................................................20

Numrich; Robert W. ...............................................................35

O/P

O’Brien; Robert M. ................................................................89

O’Brien; Sean M. ...................................................................73

Oki; Eiji ....................................................................................8

Olshen; R.A. ...........................................................................72

Ongsakul; Weerakorn ..............................................................7

Oruc; A.Yavuz ........................................................................26

Overbeck; Ludger ..................................................................31

Ozaki; Tohru ..........................................................................83

Pace; Robert Kelley ................................................................85

Padmanabhan; Kanchana ......................................................70

Pagès; Jérôme .......................................................................58

Pal; Sankar K. .........................................................................23

Pan; Jie ..................................................................................35

Panario; Daniel .....................................................................11

Panchenko; Alexander ...........................................................15

Parberry; Ian ..........................................................................43

Pardalos; Panos M. ................................................................36

Pardo; Scott ...........................................................................66

Park; Junghyun ......................................................................27

Parodi; Pietro .........................................................................85

Pathak; Anirban ....................................................................34

Patil; Ganapati P. ....................................................................62

Patrangenaru; Victor .............................................................79

Paulsen; William ....................................................................13

Peace; Karl E. .........................................................................50

Peace; Karl E. .........................................................................53

Peng; Roger D. ......................................................................58

Pennoni; Fulvia ......................................................................92

Perng; Chang-shing ...............................................................69

Perumalla; Kalyan S. ..............................................................37

Petersen; Arthur C. ................................................................62

Petrosino; Alfredo ..................................................................23

Petrovic; John Srdjan .............................................................13

Pfeffer; Washek F. ...................................................................42

Piasecki; Łukasz ......................................................................41

Picek; Jan ...............................................................................77

Pillai; K. Sadasivan .................................................................88

Pinter; Janos D. ......................................................................40

Pinto; Cesar Ariel ...................................................................87

Pitard; Francis F. .....................................................................80

Pladevall; Xavier Oriols ..........................................................33

Plant; Richard E. ....................................................................62

Pless; Vera ..............................................................................18

Poole; Keith T. .......................................................................89

Popko; Edward S. ..................................................................19

Porikli; Fatih ...........................................................................22

Pouli; Tania ............................................................................91

Pozrikidis; Constantine...........................................................38

Prado; Raquel ........................................................................83

Prasad; Kuncham Syam ...........................................................4

Preziosi; Luigi .........................................................................23

Privault; Nicolas .....................................................................86

Putler; Daniel S. .....................................................................84

Q/R

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101


Qian; Edward E. .....................................................................32

Qiu; Peihua ............................................................................67

Rabe-Hesketh; Sophia ......................................................57, 78

Radhika; T.S.L ........................................................................13

Rafique; Muhammad .............................................................34

Rajlich; Vaclav ..........................................................................6

Ralston; Anthony ...................................................................10

Randic; Milan ........................................................................10

Rani; T. Raja ...........................................................................13

Ratner; Bruce .........................................................................86

Raval; Alpan ...........................................................................48

Ravishankar; V. .......................................................................35

Ray; Animesh .........................................................................48

Reba; Marilyn A. ....................................................................19

Reddy; Chandan K. ................................................................68

Rees; D.G. .............................................................................63

Reid; John Ker ........................................................................35

Reinhard; Erik ........................................................................91

Reiter; Edna E. .......................................................................46

Remillard; Bruno ....................................................................86

Ridley; Kevin D. .....................................................................41

Ritov; Ya’acov ........................................................................82

Ritter; Gunter.........................................................................81

Rizopoulos; Dimitris ..............................................................53

Rizzo; Maria L. .......................................................................60

Robert; Yves .............................................................................6

Roberts; Charles.....................................................................46

Roberts; Fred ...........................................................................9

Robins; James M. ...................................................................51

Robinson; Andrew P. ..............................................................58

Rogers; Simon .......................................................................69

Roncalli; Thierry .....................................................................31

Rootzen; Holger.....................................................................81

Rosenthal; Howard ................................................................89

Rotar; Vladimir I. ....................................................................41

Rother; Kristian ......................................................................49

Rothmann; Mark D. ..............................................................52

Roussos; Ioannis Markos ........................................................42

Rouvière; Laurent...................................................................64

Roy; Anindya .........................................................................76

Rubin; Donald B. ...................................................................72

Rueda; Luis ............................................................................49

Rutkowski; David ..................................................................90

Rutkowski; Leslie ....................................................................90

Rychtar; Jan ...........................................................................23

S

Sahimi; Muhammad ..............................................................25

Sahoo; Trilochan ....................................................................28

Saleem; Mohammad .............................................................34

Sally, Jr.; Paul J........................................................................18

Samaniego; Francisco J ..........................................................83

Samatova; Nagiza F. .............................................................70

Sameshima; Koichi ................................................................53

Sandsten; Maria .....................................................................81

Sarker; Shah-Jalal ...................................................................55

Sashegyi; Andreas ..................................................................51

Sato; Kazuo ...........................................................................92

Satyanarayana; Bhavanari ........................................................4

Sauser; Brian ............................................................................7

Scheike; Thomas H. ...............................................................53

Schenk; Olaf ............................................................................9

Schlicker; Steven ......................................................................3

Schlogl; Erik ...........................................................................32

Scianna; Marco ......................................................................23

Sclove; Stanley L. ...................................................................84

Scott; David W. ......................................................................79

Sekaran; K. Chandra ..............................................................36

Sempi; Carlo ..........................................................................85

Sen; Pranab Kumar ................................................................77

Sensen; Christoph W. ............................................................48

Shao; Jun ...............................................................................82

Shapiro; Arnold F. ..................................................................85

Shastri; Anant R. ....................................................................19

Shen; Xiaojing .......................................................................28

Sheskin; David J. ....................................................................75

Shewchuk; Jonathan ................................................................5

Shier; Douglas R. ...................................................................19

Shipway; Philip ......................................................................27

Shmueli; Galit ........................................................................69

Shukla; Manish Kumar ...........................................................26

Shults; Justine ........................................................................80

Siddiqi; Abul Hasan ...............................................................15

Sigmon; Neil P. ......................................................................18

Silling; Stewart A. ..................................................................21

Simmons; Kathy ....................................................................27

Simoff; Simeon ......................................................................67

Simon; Horst D. .....................................................................38

Simonyi; Károly .....................................................................44

Singh; Tej Bahadur ...............................................................20

Sinha; Sitabhra ......................................................................24

Skrondal; Anders ...................................................................78

Skuse; Gary............................................................................48

Smeeton; Nigel C. .................................................................71

Smith; Carlos A. .....................................................................26

Smith; Justin ...........................................................................4

Smithson; Michael .................................................................90

Soh; Jung...............................................................................48

Solka; Jeffrey ..........................................................................69

Somervuo; Panu ....................................................................49

Song; Enbin ...........................................................................28

Sorensen; Eric H.....................................................................32

Sørensen; Helle ......................................................................89

Sorensen; Michael .................................................................82

Spellman; Frank R. .................................................................61

Spencer; Neil H. ....................................................................63

Spiegelhalter; David...............................................................63

Sprent; Peter..........................................................................71

Sridhar; S. ..............................................................................24

Stamatis; D. H. ......................................................................66

Steel; David G........................................................................77

Steinwandt; Rainer ................................................................11

Stern; Hal S. ...........................................................................72

Stevens; Andrew ....................................................................37

Stewart; Ian .............................................................................3

Stinson; Douglas R. ..................................................................9

Stodden; Victoria ...................................................................58

Stoffer; David .......................................................................79

Stone; Charles J. ....................................................................72

Strohmaier; Erich ...................................................................38

Stroup; Walter W. ..................................................................74

Sugiyama; Masashi ................................................................70

Sun; Jianguo ..........................................................................53

Sun; Liang .............................................................................70

Sundstrom; Theodore A. ..........................................................3

Sung; Wing-Kin .....................................................................47

Swift; Randall J. ......................................................................14

Swishchuk; Anatoliy ..............................................................86

Symonds; Tara .......................................................................54

T

Takane; Yoshio .......................................................................73

Tamassia; Roberto ..................................................................11

Tang; Man-Lai ......................................................................91

Tang; Wan .............................................................................71

Tankov; Peter .........................................................................31

Tartakovsky; Alexander ..........................................................81

Taylor; John ...........................................................................47

Tembine; Hamidou ................................................................17

Teng; Fei ................................................................................35

Tesman; Barry .........................................................................9

Thomas; Andrew ...................................................................63

Thompson; Simon G. ............................................................77

Thompson; William Clayton ..................................................22

Tian; Guo-Liang .....................................................................91

Tian; Yingjie ...........................................................................70

Tibshirani; R.J. ........................................................................76

Tice; Bradley S. ......................................................................34

Tittmann; Peter......................................................................40

Tobias; Paul A. .......................................................................66

Torgo; Luis .............................................................................68

Toussaint; Godfried T. ............................................................18

Tovey; Craig A. ......................................................................40

Tramontano; Anna .................................................................49

Triantis; John E. ......................................................................85

Trindade; David .....................................................................66

Tsiatis; Anastasios ..................................................................75

Tu; Xin M. .............................................................................71

Tuimala; Jarno ........................................................................49

Turyn; Lawrence ....................................................................25

Tzeng; Gwo-Hshiung ............................................................39

U/V

Ugarte; Maria Dolores ...........................................................65

Umlauf; Anya .........................................................................51

Upadhyay; Ranjit Kumar ........................................................21

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Vacavant; Antoine ..................................................................22

Vach; Werner .........................................................................55

Vaida; Florin ..........................................................................51

Vaillencourt; Richard R. ..........................................................30

van Buuren; Stef ....................................................................74

Van Der Linden; Wim .............................................................91

van Houwelingen; Hans C. ....................................................53

van Oorschot; Paul C. ............................................................11

Vanstone; Scott A. .................................................................11

Vasco; Maria Isabel ................................................................11

Vecer; Jan .............................................................................65

Vehtari; Aki ............................................................................72

Vekstein; Grigory .....................................................................8

Venkateswaran; Venkat ..........................................................11

Verbeke; Geert .......................................................................75

Vercauteren; Frederik .............................................................11

Vert; Jean-Philippe ................................................................48

Verzani; John ...................................................................59, 64

Vese; Luminita A. ...................................................................23

Via; Allegra ............................................................................49

Vivien; Frédéric ........................................................................6

von Davier; Alina A. ...............................................................90

von Davier; Matthias .............................................................90

W

Wagner; Christoph ................................................................31

Wahiddin; Mohamed Ridza ...................................................30

Wainer; Howard ....................................................................92

Walker; James S. ....................................................................18

Wan; Weishi ...........................................................................34

Wang; Guanyu ......................................................................21

Wang; Huaxiong .....................................................................8

Wang; Hui .............................................................................32

Wang; Jane-Ling ....................................................................79

Wang; Jason T.L. ....................................................................47

Wang; Jiacun ...........................................................................6

Wang; Suojin .........................................................................77

Wang; Yu-Chao .....................................................................25

Wang; Zhihui .........................................................................24

Wapner; Leonard M. ..............................................................45

Washington; Lawrence C. ........................................................5

Washington; Simon P. ...........................................................88

Webster; Micah D. .................................................................14

Weidenbach; Christoph .........................................................45

Weihs; Claus ..........................................................................57

Weiner; Daniel .......................................................................24

Weisstein; Eric W. ..................................................................17

Welch; Kathleen B..................................................................58

Welham; Suzanne Jane .........................................................88

Wellein; Gerhard ....................................................................36

Welsh; Alan ............................................................................77

Wenger; Rephael ...................................................................20

West; Brady T. ........................................................................58

West; Brady T. ........................................................................89

West; Mike.............................................................................83

Westfall; Peter ........................................................................83

Wheeden; Richard .................................................................43

White; Brian E. .........................................................................7

Whiting; Nancy E. .................................................................61

Wiegand; Thorsten ................................................................61

Wiens; Brian L. .......................................................................52

Wilkinsn; Darren J. .................................................................55

Wirkus; Stephen A. ................................................................14

Wong; Garry ..........................................................................49

Wong; M.W. ..........................................................................16

Wood; Simon ........................................................................74

Woodward; Mark ...................................................................52

Worch; Thierry .......................................................................60

Wu; James .............................................................................69

X

Xi; Ning .................................................................................24

Xia; H. Amy ...........................................................................54

Xie; Lihua ..............................................................................17

Xie; Yihui ...............................................................................73

Xing; Chaoping .......................................................................8

Xing; Haipeng .......................................................................84

Xu; Li Da .................................................................................8

Xu; Zenglin ...........................................................................69

Y

Yan; Duanli ............................................................................90

Yang; Yang ............................................................................89

Ye; Jieping .............................................................................70

Ye; Nong ...............................................................................68

Yellen; Jay ..............................................................................10

Yellen; Jay ..............................................................................12

Yu; Ting .................................................................................67

Z

Zang; Weihai .........................................................................17

Zhang; Chunhua ..................................................................70

Zhang; Jingxiong ...................................................................61

Zhang; Jin-Ting ......................................................................71

Zhang; Mingjun ....................................................................24

Zhang; Ping .....................................................................10, 12

Zhao; Chengli..........................................................................8

Zhou; Jie ................................................................................28

Zhou; Zhi-Hua .......................................................................68

Zhu; Yunmin .........................................................................28

Ziegler; Gunter M. .................................................................44

Zinovyev; Andrei ...................................................................48

Zou; Kelly H. ..........................................................................54

Zucchini; Walter ....................................................................76

Zygmund; Antoni ..................................................................43

Sale

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Central and South America and MexicoMichael DulisseSales Office, Boca Raton, FLTaylor & Francis 6000 Broken Sound Parkway, NW, Suite 300, Boca Raton, FL 33487, USA Tel: 561-998-2582Fax: 561-361-6049e-mail: [email protected] E. Atkin (Excluding Brazil)Cranbury International LLC7 Clarendon Ave, Suite 2Montpelier, VT 05602, USATel: +1 802 223 6565Fax: +1 802 223 6824e-mail: [email protected]

Taylor & Francis Group BrazilRenata Zanzini – Depto [email protected]: (11) 3017-6941 / (11) 97486-8236 Rua Bela Cintra, 967 – 11 and.01415-000 – São Paulo – SP.

Caribbean and The West IndiesJasmina BasicArea Sales Manager Milton Park Sales OfficeTel: +44 (0) 20 7017 6187 Fax: +44 (0) 20 7017 6748 e-mail: [email protected]

AustralasiaJoanne BlackfordMilton Park Sales OfficeTel: +44 (0) 20 7017 6053Fax: +44 (0) 20 7017 6748e-mail: [email protected]

AustraliaEuropa Publications (non-exclusive) James Bennett3 Narabang Way, Belrose, NSW 2085AustraliaTel: +02 9986 7064Fax: +02 9986 7030www.bennett.com.au

Middle East and South AfricaJasmina BasicArea Sales Manager – Middle East and South AfricaMilton Park Sales OfficeTel: +44 (0) 20 7017 6187 Fax: +44 (0) 20 7017 6748 e-mail: [email protected] KavianiIPS (Middle East) LtdP.O. Box 27533Dubai, UAETel: +971 4 238 4001Fax: +971 4 238 4005e-mail: [email protected]: http://www.ipsme.com

Rest of AfricaAdrian RiddockInternational Senior Sales Support Coordinatore-mail: [email protected]

Sub-Saharan Africa (excluding South Africa and Botswana)Julian RussTula Publishing LtdAristotle HouseAristotle LaneOxfordOX2 6TRTel: +44 (0) 1865 553606Fax: +44 (0) 1865 517999e-mail: [email protected]

6000 Broken Sound Parkway, NW, Suite 300, Boca Raton, FL 33487, U.S.A.Within the Continental USA - Tel: 800-272-7737 • Fax: 800-374-3401 • [email protected]

Outside the Continental USA - Tel: 561-994-0555 • Fax: 561-361-6018 • [email protected]

Senior Vice President of SalesDennis WeissTel: 561-998-2510Fax: 561-998-2580e-mail: [email protected]

Customer Service/Sales OperationAngela WilliamsTel: 800-272-7737 ext. 6091Fax: 800-374-3401e-mail: [email protected]

Latin American SalesMichael DulisseTel: 561-998-2582Fax: 561-361-6049e-mail: [email protected]

Premium/Custom SalesGeorge KenneyTel: 561-998-2544Fax: 561-361-6049e-mail: [email protected]

eBooks and Digital Content SalesRosa PerezTel: 917 351-7115Fax: 212-244-1563e-mail: [email protected]

LibrariesEvelyn EliasTel: 561-361-6010 Fax: 561-361-6049e-mail: [email protected]

Bookstores and Textbook SalesEvelyn EliasTel: 561-361-6010 Fax: 561-361-6049e-mail: [email protected]

Subsidiary Rights SalesChristina M. TarantoTel: 212-216-7862Fax: 212-244-1563e-mail: [email protected]

Customer ServicesBook orders should be addressed to the appropriate overseas agent or the Customer Service Department at Bookpoint:

Taylor & Francis Bookpoint130 Park Drive, Milton Park Abingdon, Oxon OX14 4SETel: +44 (0) 1235 400 524Fax: +44 (0) 1235 400 525 e-mail (UK): [email protected] e-mail (international): [email protected]

Standing OrdersIf you would like to receive books on our improved pre-selective standing order system, or if you would like to have further information about this service, please contact your area manager or Customer Services Department.

Group Sales DirectorChristoph ChesherTel: +44 (0) 20 7017 6194Fax: +44 (0) 20 7017 6748e-mail: [email protected]

International Sales DirectorGraham CrossleyTel: +44 (0) 20 7017 6048Fax: +44 (0) 20 7017 6748e-mail: [email protected]

Head of UK SalesNick PerryTel: +44 (0) 20 7017 6132Fax: +44 (0) 20 7017 6732e-mail: [email protected]

Corporate and Institutional SalesAlfred LeaTel: +44 (0) 20 7017 6273Fax: +44 (0) 20 7017 6732e-mail: [email protected]

UK Sales Support ManagerJude SermonTel: +44 (0) 20 7017 6191Fax: +44 (0) 20 7017 6732e-mail: [email protected]

UK Sales Support CoordinatorLindsey BinksTel: +44 (0) 7017 7365e-mail: [email protected]

Academic Representatives (UK)Tim PageHigher Education Sales ManagerMobile: 07824 690646e-mail: [email protected]

International EnquiriesJoanne BlackfordInternational Sales Support Manager (Books)Tel: +44 (0) 20 7017 6053Fax: +44 (0) 20 7017 6748e-mail: [email protected]

Europe and Japan EnquiriesHannah DoltonInternational Sales Support CoordinatorTel: +44 (0) 20 7017 6149Fax: +44 (0) 20 7017 6748e-mail: [email protected]

South Asia, Middle East and Africa EnquiriesAdrian RiddockInternational Senior Sales Support CoordinatorTel: +44 (0) 20 7017 6114Fax: +44 (0) 20 7017 6748e-mail: [email protected]

China Liaison OfficeLeo Li Senior Manager - Academic PublishingTaylor & Francis Group, Beijing OfficeRoom 1108B, Culture Square, No. 59 Jia, Zhongguancun St.Haidian District, Beijing 100872, P.R. ChinaTel: 8610–8250 [email protected]

Foreign RightsAdele Parkere-mail: [email protected]

ExhibitionsKatie GilbertExhibitions ManagerTel: +44 (20) 7017 6310e-mail: [email protected]

In the Americas Sales Office - CRC Press

2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN, UK

Milton Park Sales Office - Taylor & Francis Group (Books Ltd)

Visit us online at www.crcpress.com

104

Sales Ag

ents

BotswanaArthur OagengBook Promotions/Horizon Books BotswanaGaborone International Finance ParkPlot 113-114, Unit 33, Kgale Mews 2, Suite 3 Gaborone, BotswanaTel: +267 393 1194Fax: +267 392 4908e-mail: [email protected]

South Africa, Namibia, Lesotho and SwazilandMichelle SymingtonBook Promotions/Horizon BooksPO Box 6836Roggebaai8012South AfricaTel: +27 21 469 8900Fax: +27 21 469 8903Fax2Email: 0865314387e-mail: [email protected]

South AsiaRyan CooperInternational Sales ManagerMilton Park Sales OfficeTel: +44 (0) 20 7017 6113 Fax: +44 (0) 20 7017 6748 e-mail: [email protected]

IndiaTaylor & Francis Books India Pvt Ltd.912 Tolstoy House15-17, Tolstoy MargNew Delhi 110 001Tel: +91 (0) 11 2371 2131 +91 (0) 11 2335 1453Fax: +91 (0) 11 2371 2132e-mail: [email protected]

PakistanM. Anwer IqbalBook BirdMian Chambers, 3 Temple RoadPO Box 518, Lahore, PakistanTel: +92 42 636 7275Fax: +92 42 636 1370e-mail: [email protected]

JapanUnited Publishers Services Limited1-32-5 Higashi-shinagawaShinagawa-ku, Tokyo 140-0002Tel: +81 (0) 3 5479 7251Fax: +81 (0) 3 5479 7307e-mail: [email protected]

Editorial Office

KoreaSe-Yung JunICK (Information & Culture Korea)473-19 Seokyo-dong, Mapo-kuSeoul, Korea 121-896Tel: +82 2 3141-4791Fax: +82 2 3141-7733e-mail: [email protected]

East and Southeast AsiaFor all Taylor & Francis Group imprints please order from our Singapore Sales OfficeSingapore Sales OfficeTaylor & Francis Asia Pacific60 MacPherson Road#06-09 Siemens CentreSingapore 348615Fax: +65 6742 9356e-mail: [email protected]

Hong KongTaylor & Francis Asia PacificSuite 145, Somptueux Central52-54 Wellington StreetCentralHong KongTel: +852 3752 0626Jeffrey Lim Books Sales DirectorSingapore Sales Officee-mail: [email protected] Kwan Manager e-mail: [email protected]

ChinaTaylor & Francis Asia PacificRoom 1108B, Culture SquareNo. 59 Jia, Zhongguancun St.Haidian DistrictBeijing 100872P.R. China Tel: +86 10 82502670Fax: +86 10 82502566Jeffrey Lim Books Sales DirectorSingapore Sales Office e-mail: [email protected] Ji Sales Managere-mail: [email protected]

Shanghai RegionChris Ye Account ManagerRoom 1410, Jinjiang Xiangyang Tower993 Nanjing West RoadShanghai 200041P.R. ChinaTel: +86 21 22111595e-mail: [email protected]

Guangdong RegionCherry Wang Sales Executivee-mail: [email protected]

Singapore and IndonesiaMohamed Feroz Assistant Sales ManagerSingapore Sales Officee-mail: [email protected]

Malaysia and BruneiTaylor & Francis Publishing ServicesTaylor & Francis Asia PacificNo. 23-2, Jalan PJS 8/18Dataran Mentari 46150 Petaling JayaSelangor Darul EhsanMalaysiaTel: +60 (3) 5630 1361Fax: +60 (3) 5630 1732David YeongGeneral ManagerMobile: +60 (0)16 331 9912e-mail: [email protected]

ThailandTaylor & Francis Asia PacificJeffrey Lim Books Sales Directore-mail: [email protected] Sawaithong Account ManagerTel : +66 2 639 1333 ext. 3612e-mail: [email protected]

TaiwanTaylor & Francis Asia PacificRoom 629, 6F, No. 6, Sec. 4, Hsinyi RoadDa-an DistrictTaipei 106Taiwan (R.O.C.)Jeffrey Lim Books Sales Directore-mail: [email protected] Lin Sales ManagerTel: +886 (2) 2551 1266 ext. 6275e-mail: [email protected]

Philippines, Vietnam and Indo-ChinaJeffrey Lim Books Sales DirectorSingapore Sales Officee-mail: [email protected]

Israel and the Palestinian TerritoriesRyan Cooper International Sales ManagerMilton Park Sales OfficeTel: +44 (0) 20 7017 6113 Fax: +44 (0) 20 7017 6748 e-mail: [email protected] FranklinFranklin’s InternationalPO BOX 3772 7, Tel Aviv 61376, IsraelTel: +972 356 00724Fax: +972 356 00479e-mail: [email protected]

EuropeBelgium, The Netherlands, France and LuxembourgLiza WalravenArea Sales ManagerTaylor & FrancisP.O. Box 4472300 AK LeidenThe Netherlands Tel. 0031 (0) 715243084F: 0031 (0) 71 523 4571 Mobile: 0031 (0)623849668e-mail: [email protected]

Nordic CountriesEva NyikaSales RepresentativeTaylor & Francis ScandinaviaKungsbroplan 3 A, 1st FloorP.O Box 3255SE-103 65 Stockholm, Swedene-Mail [email protected]

Germany, Austria and SwitzerlandGabriela MauchArea Sales Manager Taylor & Francis Group (Books Ltd)Karlshofstr. 2270599 Stuttgart, GermanyTel: +49 (0)711 7207231 Fax: +49 (0)711 7220668 Mobile +49 (0)173 9059469e-mail: [email protected]

Spain, Portugal, Italy, and GreecePhilip Veysey Area Sales ManagerPríncipe de Vergara 109,28002 Madrid, SpainTel: +34 91 700 0688Fax: +34 91 141 2304Mobile: +34 68 777 3678e-mail: [email protected]

Eastern EuropeMarek Lewinson(Humanities and Social Sciences)Bohaterewicza 3/4503-982 Warsaw, PolandTel/fax: +48 (0) 22 6714819Mobile: +48 (0) 602 707 037e-mail: [email protected] Janousek(Science and Technology)Pod Nouzovem 972/21197 00 Prague, Czech RepublicTel: +42 (0) 28 658 49888Mobile: +42 (0) 602294014e-mail: [email protected]

England and WalesLondon and Eastern EnglandJames WhittleArea RepresentativeMobile: 07802 536233 e-mail: [email protected]

West Midlands, Southern England, the South West and South WalesJohn BlakeArea RepresentativeMobile: 07889 263 857e-mail: [email protected]

North and Northwest England, East Midlands and North WalesLucy PinkArea RepresentativeMobile: 07860 633156e-mail: [email protected]

North of England, Scotland, Ireland and Northern IrelandNick PepperArea RepresentativeMobile: 07825 748476e-mail: [email protected]

Library SupplyNigel BerkeleyLibrary Supply and London KeyAccounts ManagerMobile: 07795 968206e-mail: [email protected]

Online RetailersRod AbrahamAssistant UK Sales ManagerMobile: 07860 380 814Fax: 01372 273 744e-mail: [email protected]

The following subject catalogs are available from CRC Press.View them online at the URL listed or contact your local sales representative for copies.

Agriculture & Life SciencesISBN: 978-0-418-27627-3

Biomedical SciencesISBN: 978-0-418-27268-8

Business, Management, & Public AdministrationISBN: 978-0-418-27269-5

Chemistry & Chemical EngineeringISBN: 978-0-418-27271-8

Civil & Mechanical EngineeringISBN: 978-0-418-27272-5

Computer Science, Information Technology, & Game Development

ISBN: 978-0-418-27273-2

Electrical EngineeringISBN: 978-0-418-27274-9

Environmental Science & EngineeringISBN: 978-0-418-27275-6

Ergonomics & Human Factors,Industrial Engineering & Manufacturing

ISBN: 978-0-418-27276-3

Food Science & NutritionISBN: 978-0-418-27277-0

Forensic Science, Law Enforcement, & Homeland Security

ISBN: 978-0-418-27278-7

Mathematics & StatisticsISBN: 978-0-418-27279-4

Medicine & Veterinary MedicineISBN: 978-0-418-27282-4

Physics & Materials ScienceISBN: 978-0-418-27281-7

www.crcpress.com/catalogs CRC PressTaylor & Francis Groupw w w . c r c p r e s s . c o m

Find More Onlinewww.crcpress.com






Go to www.crcpress.comfor detailed information on every book.

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