Statistics - May 2011

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Contents Statistical Theory & Methods ................................3 Biostatistics ............................................................9 Computational Statistics ......................................14 Statistical Learning & Data Mining ......................15 Page 6

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Statistics for Business, Finance & Economics ......17 Statistics for Psychology & Social Science............19 Environmental Statistics ......................................20 Statistical Genetics & Bioinformatics....................20 Statistics for Biological Sciences ..........................21 Statistics for Engineering & Physical Science ......21

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MBCSTA1 MC_4.6.11rd

Statistical Theory & Methods Textbook Coming soon!

Practical Multivariate Analysis Fifth Edition Abdelmonem Afifi, Virginia A. Clark, and Susanne May This classic textbook introduces multivariate analysis to nonstatisticians in the biomedical, social, and management sciences. Each chapter in this fifth edition features an updated discussion and listing of computer software packages, including S-PLUS, SAS, SPSS, Stata, and STATISTICA. Along with new references, data sets, and problems with solutions, this edition offers a brief discussion of R and provides a new chapter on multilevel analysis that covers random- and mixed-effects regression models for continuous and binary outcome data.

Catalog no. K10864, July 2011, c. 536 pp.

ISBN: 978-1-4398-1680-6, $89.95 / £44.99

Statistical Inference An Integrated Bayesian/Likelihood Approach Murray Aitkin University of Melbourne, Australia

Bayesian Model Selection and Statistical Modeling Tomohiro Ando Keio University, Kanagawa, Japan

Along with many practical applications, this book presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation, which is available for download on the book’s website. The text also applies Bayesian model averaging to many problems and compares different types of simulation-based Bayesian model selection criteria.

Catalog no. K11633, 2010, 300 pp.

ISBN: 978-1-4398-3614-9, $89.95 / £63.99 Also available as an eBook

Textbook New!

Bayesian Ideas and Data Analysis An Introduction for Scientists and Statisticians Ronald Christensen, Wesley O. Johnson, Adam J. Branscum, and Timothy E. Hanson

Filling a gap in current Bayesian theory, this book presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical methods for hypothesis testing. The book discusses nonparametric Bayesian survey analysis, gives alternatives to current frequentist nonparametric methods, and includes new goodness-of-fit methods for assessing parametric models.

Emphasizing the use of WinBUGS and R to analyze real data, this text presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. 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.

Catalog no. C3436, 2010, 254 pp.

ISBN: 978-1-4200-9343-8, $89.95 / £57.99

Catalog no. K10199, January 2011, 516 pp.

ISBN: 978-1-4398-0354-7, $69.95 / £44.99

Also available as an eBook

Also available as an eBook

For more information and complete contents, visit www.crcpress.com

3

Statistical Theory & Methods

Applied Bayesian Hierarchical Methods Peter D. Congdon University of London, UK

Handbook of Spatial Statistics Edited by

Alan E. Gelfand, Peter Diggle, Peter Guttorp, and Montserrat Fuentes

Emphasizing applications and practical computing aspects, this book presents a review of Bayesian hierarchical methods. It provides a complete treatment of the main modeling settings.

The text includes realistic worked examples from the social and health sciences, mainly employing the WinBUGS package but also incorporating BayesX code. The author also illustrates MCMC sampling from first principles using R. A set of programs linked to the worked examples is available at CRC Press Online.

“… The time has come for a new reference book in spatial statistics. This handbook remarkably achieves this aim. … The editorial quality of the book is absolutely remarkable. … In some chapters, R or WinBugs code is made available. I strongly recommend Handbook of Spatial Statistics … . It will definitely be one of my favorite books in the field for years to come, and I am convinced that it will be the case for many scientists. …”

Catalog no. C7206, 2010, 604 pp.

ISBN: 978-1-58488-720-1, $89.95 / £57.99

Catalog no. C7287, 2010, 619 pp.

ISBN: 978-1-4200-7287-7, $99.95 / £63.99

Also available as an eBook

Also available as an eBook

—Statistics and Computing, October 2010

New! Textbook New!

Nonparametric Statistical Inference Fifth Edition Jean Dickinson Gibbons and Subhabrata Chakraborti University of Alabama, Tuscaloosa, USA

“… This excellently presented book achieves its aim of seeding the fundamentals of non-parametric inference. The theoretical concepts are illustrated with numerical examples and use of statistical software is illustrated, wherever possible. The book is undoubtedly well written and presents a good balance of theory and applications. … I would strongly recommend this book to university libraries, teachers and undergraduate students who want to learn non-parametric inference in theory and practice.”

Robust Nonparametric Statistical Methods Second Edition Thomas P. Hettmansperger Pennsylvania State University, University Park, USA

Joseph W. McKean Western Michigan University, Kalamazoo, USA

—Journal of the Royal Statistical Society, Series A, April 2011

Presenting an extensive set of tools and methods for data analysis, this second edition includes more models and methods and significantly extends the possible analyses based on ranks. It contains a new section on rank procedures for nonlinear models, a new chapter on models with dependent error structure, and new material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models. Information about the data sets and R packages can be found at CRC Press Online.

Catalog no. C7619, January 2011, 650 pp.

ISBN: 978-1-4200-7761-2, $99.95 / £63.99

Catalog no. K10449, January 2011, 553 pp.

ISBN: 978-1-4398-0908-2, $99.95 / £63.99

Also available as an eBook

Also available as an eBook

4

Statistical Theory & Methods New!

Textbook

Handbook of Parametric and Nonparametric Statistical Procedures

Time Series Modeling, Computation, and Inference Raquel Prado

Fifth Edition

University of California, Santa Cruz, USA

David J. Sheskin

Mike West

Western Connecticut State University, Danbury, USA

Duke University, Durham, North Carolina, USA

Unsurpassed in accessibility, practicality, and scope, the fifth edition of this classic handbook provides up-to-date, in-depth coverage of more than 160 statistical procedures as well as both theoretical and practical statistical topics. This fifth edition includes two new chapters on statistical modeling as well as 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.

Catalog no. K12706, April 2011, c. 1926 pp.

ISBN: 978-1-4398-5801-1, $169.95 / £108.00

This text covers the major areas of modern time series models and theory. It also discusses recent techniques for modeling time series data, such as dynamic graphical models, SMC methods, and nonlinear/non-Gaussian dynamic models. 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 their websites.

Catalog no. C9336, 2010, 368 pp.

ISBN: 978-1-4200-9336-0, $89.95 / £57.99 Also available as an eBook

Textbook

Introduction to Time Series Modeling

Design and Analysis of Experiments with SAS

Genshiro Kitagawa

John Lawson

Institute of Statistical Mathematics, Tokyo, Japan

Brigham Young University, Provo, Utah, USA

“… What distinguishes this book from comparable introductory texts is the use of state space modeling. Along with this, come a number of valuable tools for recursive filtering and smoothing, including the Kalman filter as well as nonGaussian and sequential Monte Carlo filters. … a useful reference for the application of state space modeling to time series.”

“… The book’s strongest point is its wealth of practical examples from a wide range of fields, such as agriculture, industrial production, psychology, pharmacology … the examples are very helpful for grasping the ideas behind applied experimentation. … a very useful addition to the library of anyone with … interest or experience in applied experimentation. … [also] useful for statistically skilled readers who want to use software other than SAS for design and analysis of experiments. …”

—MAA Reviews, October 2010

Catalog no. C9217, 2010, 296 pp.

ISBN: 978-1-58488-921-2, $79.95 / £49.99 Also available as an eBook

—Journal of Statistical Software, December 2010, Volume 37

Catalog no. C6060, 2010, 596 pp.

ISBN: 978-1-4200-6060-7, $99.95 / £63.99 Also available as an eBook

For more information and complete contents, visit www.crcpress.com

5

Statistical Theory & Methods Textbook New!

Textbook New!

Design of Experiments

Introduction to General and Generalized Linear Models

An Introduction Based on Linear Models Max Morris Iowa State University, Ames, USA

Offering deep insight into the connections between design choice and the resulting statistical analysis, this text explores how experiments are designed using the language of linear statistical models. It presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models, rather than as a collection of seemingly unrelated solutions to unique problems. Calculations are performed using R, with commands provided in an appendix.

Catalog no. C9233, January 2011, 370 pp.

ISBN: 978-1-58488-923-6, $89.95 / £39.99

Henrik Madsen and Poul Thyregod Technical University of Denmark, Lyngby

Providing a flexible framework for data analysis and model building, this text focuses on the statistical methods and models that can help predict the expected value of an outcome, dependent, or response variable. It offers a sound introduction to general and generalized linear models using the popular and powerful likelihood techniques.

Numerous real-world examples show how the problems are solved with R. Ancillaries are available on the book’s website.

Catalog no. C9155, January 2011, 316 pp.

ISBN: 978-1-4200-9155-7, $79.95 / £39.99 Also available as an eBook

Also available as an eBook

New! New!

Optimal Experimental Design with R Dieter Rasch, Jurgen Pilz, L.R. Verdooren, and Albrecht Gebhardt This work introduces the philosophy of experimentation and the need for good design and data collection for experiments. It gives guidance on how to construct optimum experimental designs and calculate the sample size using R programs. The book contains many detailed realworld examples that show how the R programs should be used. The authors discuss variations of the regression model, including linear and nonlinear regression models. They also provide theoretical details for interested mathematical statisticians.

Catalog no. K10876, May 2011, c. 334 pp.

ISBN: 978-1-4398-1697-4, $99.95 / £63.99

Choice-Based Conjoint Analysis Models and Designs Damaraju Raghavarao, James B. Wiley, and Pallavi Chitturi Temple University, Philadelphia, Pennsylvania, USA

Building on the authors’ significant work in the field, this book explores the experimental design issues that occur when constructing concept profiles for discrete choice experimentation (DCE) and conjoint analysis (CA) studies. It show how to modify commonly used designs and models as well as develop new types of designs for solving DCE and CA problems. Requiring minimal mathematical background, the text explains experimental design concepts through illustrative examples and provides detailed coding of design matrices for standard designs.

Catalog no. K10020, January 2011, 192 pp.

ISBN: 978-1-4200-9996-6, $89.95 / £57.99 Also available as an eBook

6

Statistical Theory & Methods Coming soon!

Smoothing Splines

Circular and Linear Regression

Methods and Applications

Fitting Circles and Lines by Least Squares

Yuedong Wang

Nikolai Chernov

University of California, Santa Barbara, USA

University of Alabama at Birmingham, USA

This book covers basic nonparametric spline models, such as polynomial spline, periodic spline, thin-plate spline, L- spline, partial spline, and smoothing spline ANOVA for both Gaussian data and data from exponential families. It also presents smoothing spline models with unequal variance and correlated random errors as well as advanced models, including semiparametric linear and nonlinear mixed-effects models and nonparametric and semiparametric nonlinear regression models. In addition, the author describes vector spline models for multivariate observations and functional linear models.

This book explains how to use modern algorithms to fit geometric contours to observed data in image processing and computer vision. It looks at how the numerical algorithms relate to one another through underlying ideas, compares the strengths and weaknesses of each algorithm, and illustrates how to combine the algorithms to achieve the best performance. The text also identifies obscure issues that may be relevant in future research. MATLAB® codes are available on the author’s website.

Catalog no. C7755, June 2011, c. 384 pp.

ISBN: 978-1-4200-7755-1, $89.95 / £57.99

Also available as an eBook

Catalog no. K11619, 2010, 286 pp.

ISBN: 978-1-4398-3590-6, $99.95 / £63.99

New!

The Minimum Distance Approach

Handbook of Fitting Statistical Distributions with R

Ayanendranath Basu

Zaven A. Karian

Indian Statistical Institute, Kolkata

Denison University, Granville, Ohio, USA

Hiroyuki Shioya

Edward J. Dudewicz

Muroran Institute of Technology, Japan

Syracuse University, New York, USA

Chanseok Park

Along with in-depth coverage of cutting-edge applications, this comprehensive and authoritative handbook presents the latest and best methods, algorithms, and computations for fitting distributions to data. The book covers GLD methodology and fitting systems as well as recent additions to GLD and generalized bootstrap methods. It also explores real-world applications in agriculture, reliability estimation, hurricanes/typhoons/cyclones, hail storms, water systems, insurance and inventory management, and materials science. The accompanying CD-ROM includes the R programs used for many of the computations.

New!

Statistical Inference

Clemson University, South Carolina, USA

This book gives a comprehensive account of density-based minimum distance methods and their use in statistical inference. It covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, graphical descriptions of robustness, penalized and combined distances, multisample methods, weighted likelihood, and multinomial goodness-of-it tests. The authors also introduce the minimum distance methodology in interdisciplinary areas.

Catalog no. K10008, May 2011, c. 424 pp.

ISBN: 978-1-4200-9965-2, $89.95 / £57.99

Catalog no. C7117, January 2011, 1718 pp.

ISBN: 978-1-58488-711-9, $149.95 / £95.00 Also available as an eBook

For more information and complete contents, visit www.crcpress.com

7

Statistical Theory & Methods Textbook New! New!

Simultaneous Inference in Regression Wei Liu

Introduction to Statistical Limit Theory Alan M. Polansky

University of Southampton, UK

Northern Illinois University, Dekalb, USA

With examples and MATLAB® programs, this book provides a thorough overview of the construction methods and applications of simultaneous confidence bands for various inferential purposes.

Most of the text covers normal-error linear regression models, although the author also describes the logistic regression model to show how simultaneous confidence bands can be constructed and used for generalized linear regression models.

MATLAB programs and color figures are available for download on the author’s website.

Helping readers develop a good understanding of asymptotic theory, this text provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. The author explains as much of the background material as possible and incorporates detailed proofs and explanations of the results.

Numerous examples illustrate the application of asymptotic theory to modern statistical problems.

The text also includes many end-of-chapter exercises and experiments.

Catalog no. K11385, January 2011, 292 pp.

ISBN: 978-1-4398-2809-0, $89.95 / £57.99

Catalog no. C6604, January 2011, 645 pp.

ISBN: 978-1-4200-7660-8, $89.95 / £57.99

Also available as an eBook

Also available as an eBook

Coming soon!

Gaussian Process Regression Analysis for Functional Data Jian Qing Shi University of Newcastle upon Tyne, UK

Taeryon Choi

Expansions and Asymptotics for Statistics Christopher G. Small University of Waterloo, Ontario, Canada

This book presents an overview of Gaussian process regression, all of the necessary theory, and real-world applications from the fields of medicine and engineering. It covers the required background in regression and examines key aspects of the modeling process, including model selection as well as more advanced topics. For implementing the methods discussed in the text, the authors provide ad hoc software on their website.

Providing a broad toolkit of analytical methods, this book shows how asymptotics, when coupled with numerical methods, becomes a powerful way to acquire a deeper understanding of the techniques used in probability and statistics. It describes core ideas in statistical asymptotics and covers Laplace approximation, the saddle-point method, and summation of series. The author also supplements some topics with relevant Maple™ commands and supplies a list of common series and products, enabling readers to expand an expression or simplify an expansion.

Catalog no. K11716, June 2011, c. 216 pp.

ISBN: 978-1-4398-3773-3, $99.95 / £63.99

Catalog no. C5904, 2010, 357 pp.

ISBN: 978-1-58488-590-0, $89.95 / £57.99

Korea University, Seoul

Also available as an eBook

8

Statistical Theory & Methods

Biostatistics New!

Measurement Error Models, Methods, and Applications John P. Buonaccorsi University of Massachusetts, Amherst, USA

“This book is a successful attempt to collect, organize and present the literature over the newly developed and earlier existing topics of measurement error models in one place. …The material that is presented in chapters [11 and 12] is, to my knowledge, not available in any other book on this area. … This book should be of immense help to those who are interested in the theoretical as well as applied aspects of measurement error models. …”

—Journal of the Royal Statistical Society, Series A, April 2011

Catalog no. C6656, 2010, 463 pp.

ISBN: 978-1-4200-6656-2, $89.95 / £57.99 Also available as an eBook

Visualizing Data Patterns with Micromaps Daniel B. Carr George Mason University, Fairfax, Virginia, USA

Linda Williams Pickle StatNet Consulting, LLC., Gaithersburg, Maryland, USA

“The book is extremely well written. … It is obvious that the authors are in total command of the topic … The language flows nicely and the text is illustrative and entertaining. … The reader gains a good understanding of what [micromaps] are for and what they can and cannot accomplish.”

—Oliver Schabenberger, SAS Institute Inc., Cary, North Carolina, USA

Catalog no. C7573, 2010, 182 pp.

ISBN: 978-1-4200-7573-1, $69.95 / £44.99 Also available as an eBook

Bayesian Adaptive Methods for Clinical Trials Scott M. Berry, Bradley P. Carlin, J. Jack Lee, and Peter Muller “… a rich introduction to Bayesian clinical trial design in general. It is written in an extremely readable style and is furnished with numerous examples and a great deal of helpful supplementary code. … This work provides a good overall look at the Bayesian approach to clinical trials [and] … even delves into the practical regulatory issues that arise with the use of the designs.

The book would be a worthy addition to the practicing statistician’s library.”

—Journal of Statistical Software, November 2010, Volume 37

Catalog no. K11217, January 2011, 323 pp.

ISBN: 978-1-4398-2548-8, $89.95 / £57.99 Also available as an eBook

New!

Monte Carlo Simulation for the Pharmaceutical Industry Concepts, Algorithms, and Case Studies Mark Chang AMAG Pharmaceuticals, Lexington, Massachusetts, USA

Helping you become a skillful “simulator,” this book provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods needed to carry out computer simulations efficiently, covers both descriptive and pseudocode algorithms that provide the basis for implementation of the simulation methods, and illustrates real-world problems through case studies.

Catalog no. K11621, January 2011, 564 pp.

ISBN: 978-1-4398-3592-0, $89.95 / £57.99 Also available as an eBook

For more information and complete contents, visit www.crcpress.com

9

Biostatistics New!

New!

Clinical Trial Data Analysis Using R

Clustering in Bioinformatics and Drug Discovery

Ding-Geng (Din) Chen University of Rochester Medical Center, New York, USA

Karl E. Peace Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USA

This book thoroughly covers biostatistical analyses of clinical trial data and shows step by step how to implement the statistical methods using R. Each chapter presents examples of clinical trials based on the authors’ actual experiences in clinical drug development. Various biostatistical methods for analyzing the data are then identified. The authors also develop analysis code using appropriate R packages and functions.

Catalog no. K11861, January 2011, 387 pp.

ISBN: 978-1-4398-4020-7, $89.95 / £57.99 Also available as an eBook

John D. MacCuish and Norah E. MacCuish Mesa Analytics & Computing, Inc., Santa Fe, New Mexico, USA

“…the authors present sufficient options so that the user can choose the appropriate method for their data. … Practitioners in the pharmaceutical industry need an expert guide, which the authors of this book provide, to extract the most information from their data. Those of us who learned their clustering from Anderberg, Sokal and Sneath, and Willett now have a valuable additional resource suitable for the 21st century.”

—From the Foreword by John Bradshaw, Barley, Hertfordshire, UK

Catalog no. K10863, January 2011, 244 pp.

ISBN: 978-1-4398-1678-3, $79.95 / £49.99 Also available as an eBook

Coming soon!

New!

Controversial Statistical Issues in Clinical Trials

Clinical Trial Methodology

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

An assessment of the current state of the art, this book covers a number of controversial issues that are commonly encountered when conducting clinical trials. It discusses the appropriateness of traditional statistical hypotheses for clinical evaluation of efficacy and safety, instability of classical sample size calculation based on information from a small pilot study, and integrity of randomization and blinding. The author illustrates the issues using real-world examples and up-to-date data and provides recommendations of possible resolutions.

Catalog no. K12247, June 2011, c. 612 pp.

ISBN: 978-1-4398-4961-3, $99.95 / £63.99

10

Karl E. Peace Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USA

Ding-Geng (Din) Chen University of Rochester Medical Center, New York, USA

“The book is an excellent overview predicated on the first author’s seasoned experiences in designing, analyzing, and communicating the results of clinical trials across a broad number of medical disciplines. … A nice introductory feature is the history of drug law and regulation, which helps to frame the subsequent statistical discussion nicely. … The real-world examples that dominate the last few chapters are fantastic. …”

—Gregory Enas

Catalog no. C9179, January 2011, 420 pp.

ISBN: 978-1-58488-917-5, $89.95 / £57.99 Also available as an eBook

Biostatistics New!

Coming soon!

Handbook of Adaptive Designs in Pharmaceutical and Clinical Development

Statistical Evaluation of Diagnostic Performance

Edited by

Annpey Pong Merck Research Laboratories, Rahway, New Jersey, USA

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

This handbook provides a comprehensive and unified presentation of the principles and latest statistical methodologies used when modifying trial procedures based on accrued data of ongoing clinical trials. The book also gives a well-balanced summary of current regulatory perspectives and presents real-world examples of a range of adaptive designs.

Leading clinical researchers in the pharmaceutical industry, academia, and regulatory agencies examine issues commonly encountered when applying adaptive design methods in clinical trials.

Catalog no. K10507, January 2011, 496 pp.

ISBN: 978-1-4398-1016-3, $99.95 / £63.99 Also available as an eBook

New!

Dose Finding by the Continual Reassessment Method Ying Kuen Cheung Columbia University, New York, New York, USA

This book presents the continual reassessment method (CRM) as a tool for dose-finding studies. With a focus on the implementation and practice of the CRM and its variations, it explains how the CRM may be calibrated and extended to suit common clinical settings.

The book includes examples of real clinical trials data to illustrate the calibration techniques and shows how R can be used to carry out the techniques. It also explores alternatives for situations where the CRM fails.

Catalog no. C9151, March 2011, 200 pp.

ISBN: 978-1-4200-9151-9, $79.95 / £49.99

Topics in ROC Analysis Kelly H. Zou, Aiyi Liu, Andriy I. Bandos, Lucila Ohno-Machado, and Howard E. Rockette This book presents innovative approaches in ROC analysis, which are relevant to a wide variety of clinical applications, including medical imaging, cancer research, epidemiology, and bioinformatics. The covered topics include monotone-transformation techniques in parametric ROC analysis, ROC methods for combined and pooled biomarkers, Bayesian hierarchical transformation models, sequential designs and inferences in the ROC setting, predictive modeling, multireader ROC analysis, and free-response ROC methodology.

Catalog no. K10617, July 2011, c. 224 pp.

ISBN: 978-1-4398-1222-8, $89.95 / £57.99

New!

An Introduction to Survival Analysis Using Stata Third Edition Mario Cleves, William Gould, Roberto Gutierrez, and Yulia Marchenko This work helps you gain intuition about how survival analysis estimators work and what information they exploit as well as acquire deeper, more comprehensive knowledge of Stata’s survival analysis routines. The third edition highlights new features of Stata 11, including competing-risks analysis and the treatment of missing values via multiple imputation. Other additions include new diagnostic measures after Cox regression, Stata’s new treatment of categorical variables and interactions, and a new syntax for obtaining prediction and diagnostics after Cox regression.

Catalog no. N10331, January 2011, 412 pp.

Soft Cover, ISBN: 978-1-59718-074-0 $79.95 / £49.99 Also available as an eBook

For more information and complete contents, visit www.crcpress.com

11

Biostatistics Coming soon!

Flexible Parametric Survival Analysis Using Stata Beyond the Cox Model Patrick Royston University College London and MRC Clinical Trials Unit, UK

Paul C. Lambert University of Leicester, UK

Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded.

The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

Catalog no. N10372, July 2011, c. 339 pp.

Soft Cover, ISBN: 978-1-59718-079-5 $79.95 / £49.99

New!

Biosurveillance Methods and Case Studies

New!

Frailty Models in Survival Analysis Andreas Wienke Martin-Luther-University HalleWittenberg, Germany

Accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real data application and interpretation of the results. It extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The text shows how to apply the models to real data using R, SAS, and Stata.

Catalog no. C7388, January 2011, 312 pp.

ISBN: 978-1-4200-7388-1, $99.95 / £63.99 Also available as an eBook

Textbook New!

Exercises and Solutions in Biostatistical Theory Lawrence Kupper

Edited by

University of North Carolina, Chapel Hill, USA

Taha Kass-Hout

Brian Neelon

Atlanta, Georgia, USA

Duke University, Durham, North Carolina, USA

Xiaohui Zhang

Sean M. O’Brien

International Public Health Institute, Tucson, Arizona, USA

Duke University School of Medicine, Durham, North Carolina, USA

“…biosurveillance has come to encompass a broader scope of the science and practice of managing population health-related data and information … . This expansive scope is reflected in the diverse collection of reports and perspectives … This text provides an important venue for the sharing of ideas and engagement of health scientists and practitioners that will be needed to assure progress.”

“… Overall, I like this book very much. The problems are carefully chosen and cover a wide range of real-world applications of biostatistical methods. Instructors and students will find this book to be a good source of supplementary problems for practice. … I have taught courses in mathematical statistics on several prior occasions and wish a book like this was available earlier.”

—From the Foreword by Daniel M. Sosin, MD, MPH, Centers for Disease Control and Prevention

—Kaushik Ghosh, Journal of Biopharmaceutical Statistics

Catalog no. K10043, January 2011, 380 pp.

ISBN: 978-1-4398-0046-1, $89.95 / £57.99

Catalog no. C7222, January 2011, 420 pp.

Soft Cover, ISBN: 978-1-58488-722-5 $49.95 / £24.99

Also available as an eBook

Also available as an eBook

12

Biostatistics New!

Practical Statistical Methods A SAS Programming Approach

Testing Statistical Hypotheses of Equivalence and Noninferiority Second Edition

Lakshmi Padgett

Stefan Wellek

Centocor, Malvern, Pennsylvania, USA

Central Institute of Mental Health, Mannheim, and University of Heidelberg, Germany

This book presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. Omitting mathematical details and complicated formulae, it provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. The author describes methods used for quantitative data and continuous data following normal and nonnormal distributions.

She also focuses on simple linear regression, logistic regression, and the proportional hazards model.

Catalog no. K10634, April 2011, c. 304 pp.

ISBN: 978-1-4398-1282-2, $79.95 / £49.99

“… The update is timely and includes some material on new subjects as well as updates of material presented in the original edition. … this book deserves a place on the bookshelf of the library of every pharmaceutical company. … this book remains the standard for texts on equivalence studies. … A copy of this book should be available to every statistician who works on clinical trials.”

—Brian Wiens, Journal of Biopharmaceutical Statistics, Issue 3, 2011

Catalog no. K10408, 2010, 431 pp.

ISBN: 978-1-4398-0818-4, $99.95 / £63.99 Also available as an eBook

New!

Measures of Interobserver Agreement and Reliability Second Edition Mohamed M. Shoukri King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia

Coming soon!

Statistical Thinking in Epidemiology Yu-Kang Tu and Mark S Gilthorpe University of Leeds, UK

Exploring applications in medical research and clinical epidemiology, this text continues to cover important issues related to the design and analysis of reliability and agreement studies. This edition contains a new chapter that describes various models for methods comparison studies as well as a new chapter on the analysis of reproducibility using the within-subjects coefficient of variation.

It also emphasizes sample size determination and the definition of the subjects’ and raters’ population. The accompanying CD-ROM includes data sets and SAS code.

Addressing issues that have plagued researchers throughout the last decade, this book provides new insights into the many existing problems in statistical modeling and offers several alternative strategies to approach these problems. The authors use specific examples in epidemiology to illustrate various model specifications that can imply different sets of causal relationships between variables. Each model is interpreted in the context of implicit or explicit causal relationships. The authors also use vector geometry where applicable to provide an intuitive understanding of key statistical concepts.

Catalog no. K10539, January 2011, 291 pp.

ISBN: 978-1-4398-1080-4, $99.95 / £63.99

Catalog no. K10018, July 2011, c. 224 pp.

ISBN: 978-1-4200-9991-1, $89.95 / £57.99

Also available as an eBook

For more information and complete contents, visit www.crcpress.com

13

Computational Statistics New! Coming soon!

R Graphics Second Edition Paul Murrell The University of Auckland, New Zealand

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 highlights new graphics-related packages that have been developed, such as the ggplot2 package. A number of new chapters cover these packages in detail. Other chapters new to this edition feature discussions of interactive graphics, 3D graphics, and importing graphics. The book also includes new examples as well as enhanced exercises for teaching or selfstudy.

Catalog no. K11535, June 2011, c. 548 pp.

ISBN: 978-1-4398-3176-2, $79.95 / £49.99

Multivariate Generalized Linear Mixed Models Using R Damon M. Berridge and Robert Crouchley Lancaster University, UK

Focusing on sophisticated data analysis techniques, this work presents robust and methodologically sound models for analyzing large and complex data sets—enabling readers to answer increasingly complex research questions. It applies the principles of modeling to longitudinal data from panel and related studies via the Sabre software package in R. Many examples throughout the text illustrate the analysis of real-world data sets. Supporting materials are available on a Sabre-dedicated website.

Catalog no. K10680, April 2011, c. 304 pp.

ISBN: 978-1-4398-1326-3, $89.95 / £57.99

New! Textbook

Graphics for Statistics and Data Analysis with R Kevin J. Keen University of Northern British Columbia, Prince George, Canada

“This is a textbook for graduate students in statistics and a helpful resource for practitioners. …

I found the examples particularly useful. The author thoroughly evaluates competing graphical methods in terms of effective display when applied to the same data. There is a series of exercises at the end of each chapter, which complements its worked examples. … a valuable resource for practitioners in seeking a reference on statistical graphics.”

—Journal of the Royal Statistical Society, Series A, April 2011

Catalog no. C0756, 2010, 489 pp.

ISBN: 978-1-58488-087-5, $69.95 / £39.99 Also available as an eBook

Exploratory Multivariate Analysis by Example Using R Francois Husson, Sebastien Le, and Jerome Pages AGROCAMPUS OUEST, Rennes, France

Full of real-world case studies and practical advice, this book focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis when variables are quantitative, correspondence analysis and multiple correspondence analysis when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. All of the data sets and code are available on the book’s website.

Catalog no. K11614, January 2011, 240 pp.

ISBN: 978-1-4398-3580-7, $79.95 / £49.99 Also available as an eBook

14

Computational Statistics New!

New!

Multiple Comparisons Using R

Using SAS for Data Management, Statistical Analysis, and Graphics

Frank Bretz Novartis Pharma AG, Basel, Switzerland

Torsten Hothorn Ludwig-Maximilians-Universität München, Germany

Ken Kleinman

Peter Westfall

Nicholas J. Horton

Texas Tech University, Lubbock, USA

Smith College, Northampton, Massachusetts, USA

Adopting a unifying theme based on maximum statistics, this self-contained introduction describes the common underlying theory of multiple comparison procedures through numerous examples. It covers a range of multiple comparison procedures, from the Bonferroni method and Simes’ test to resampling and adaptive design methods. The book also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available online.

“This book is a well-organized reference text that summarizes and illustrates SAS code and common SAS features most often used by statistical analysts and others engaged in research and data analysis. … a handy reference tool for common tasks performed in SAS … . This book would also nicely serve as a supplemental reference text for an introductory SAS programming class.”

Catalog no. C5742, January 2011, 205 pp.

ISBN: 978-1-58488-574-0, $79.95 / £49.99 Also available as an eBook

Harvard Medical School, Boston, Massachusetts, USA

—Journal of Biopharmaceutical Statistics, Issue 3, 2011

Catalog no. K11361, January 2011, 305 pp.

Soft Cover, ISBN: 978-1-4398-2757-4 $59.95 / £38.99 Also available as an eBook

New!

Using R for Data Management, Statistical Analysis, and Graphics Nicholas J. Horton Smith College, Northampton, Massachusetts, USA

Ken Kleinman Harvard Medical School, Boston, Massachusetts, USA

This book presents an easy way to learn how to perform an analytical task in R, without having to navigate through unwieldy software documentation and vast numbers of add-on packages. It covers data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. Along with many example analyses, the text includes convenient indices organized by topic and R syntax. Data sets and code are available for download on the book’s website.

Statistical Learning & Data Mining Statistical Data Mining Using SAS Applications Second Edition George Fernandez University of Nevada, Reno, USA

This resource describes statistical data mining concepts and methods and includes 13 userfriendly SAS macro applications for performing complete data mining tasks. Along with many new features in the SAS-specific macro applications, this second edition now provides access to SAS macros directly from your desktop and offers the ability to create publication quality graphics.

Compiled data mining SAS macro files are available for download online.

Catalog no. K11360, January 2011, 297 pp.

Soft Cover, ISBN: 978-1-4398-2755-0 $59.95 / £38.99

Catalog no. K10535, 2010, 477 pp.

ISBN: 978-1-4398-1075-0, $89.95 / £57.99

Also available as an eBook

Also available as an eBook

For more information and complete contents, visit www.crcpress.com

15

Statistical Learning & Data Mining New!

Exploratory Data Analysis with MATLAB®

New!

Second Edition Wendy L. Martinez

Learning with Case Studies

The Department of Defense, Fredericksburg, Virginia, USA

Luis Torgo

Angel R. Martinez Strayer University, Fredericksburg, Virginia, USA

Jeffrey L. Solka The Department of the Navy, Dahlgren, Virginia, USA

Like its bestselling 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, probabilistic latent semantic analysis, spectral-based clustering, and Andrews’ images method. MATLAB® codes are available for download on the book’s website.

Catalog no. K10616, January 2011, 530 pp.

ISBN: 978-1-4398-1220-4, $89.95 / £57.99

Data Mining with R

University of Porto, Portugal

“If you want to learn how to analyze your data with a free software package that has been built by expert statisticians and data miners, this is your book. A broad range of real-world case studies highlights the breadth and depth of the R software.”

—Bernhard Pfahringer, University of Waikato, New Zealand

“Both R novices and experts will find this a great reference for data mining.”

—Intelligent Trading blog and R-bloggers, November 2010

Catalog no. K10510, January 2011, 305 pp.

ISBN: 978-1-4398-1018-7, $79.95 / £49.99 Also available as an eBook

Also available as an eBook

New!

Handbook of Educational Data Mining Edited by

Cristobal Romero, Sebastian Ventura, Mykola Pechenizkiy, and Ryan Baker This handbook helps education experts understand what types of questions EDM can address and helps data miners understand what types of questions are important to educational design and educational decision making. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems that EDM has addressed.

Catalog no. K10250, January 2011, 535 pp.

ISBN: 978-1-4398-0457-5, $109.95 / £69.99 Also available as an eBook

16

New!

Data Clustering in C++ An Object-Oriented Approach Guojun Gan Manulife Financial, Toronto, Canada

Using object-oriented design and programming techniques in C++, this book explains how to implement data clustering algorithms. The author presents a flexible set of reusable classes that simplifies the implementation of any data clustering algorithm. The first part of the text reviews basic concepts of data clustering and object-oriented programming in C++. The second section develops the data clustering base classes. The third part implements popular data clustering algorithms.

Catalog no. K12884, March 2011, 520 pp.

ISBN: 978-1-4398-6223-0, $89.95 / £57.99

Statistical Learning & Data Mining New!

Bayesian Artificial Intelligence Second Edition Kevin B. Korb and Ann E. Nicholson

Statistics for Business, Finance & Economics Introduction to Credit Risk Modeling Second Edition Christian Bluhm Munich, Germany

Ludger Overbeck

Monash University, Clayton, Victoria, Australia

University of Giessen, Germany

Updated and expanded, the second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers, along with new applications and case studies. It also includes new sections on objectoriented Bayesian networks, causal discovery, Markov blanket discovery, and causal discovery programs. Supplemental materials are available on the book’s website.

Munich, Germany

Catalog no. K10816, January 2011, 491 pp.

ISBN: 978-1-4398-1591-5, $89.95 / £57.99 Also available as an eBook

Christoph Wagner “… A great first step into credit risk modeling. …

The book is written in a mixture of theorem-proof and applied styles. … I find this rather pleasing, as it gives the reader the edge of theoretical exposition … One really useful side of the book is that it provides step-by-step guide to methods presented. This should be really appreciated in industry and among students. …”

—MAA Reviews, January 2011

Catalog no. C8992, 2010, 384 pp.

ISBN: 978-1-58488-992-2, $79.95 / £49.99 Also available as an eBook

Statistics for Business, Finance & Economics Textbook New!

Stochastic Finance A Numeraire Approach Jan Vecer Columbia University, New York, New York, USA

“Although the importance of the choice of numeraire has been recognized for quite some time, this is the first book to stress the fundamental role that numeraires play in modern asset pricing theory. The author is the leading expert on the subject so it is a pleasure to highly recommend this book.”

—Peter Carr, Ph.D., Managing Director of Morgan Stanley and Executive Director of NYU’s Master of Science Program in Mathematics in Finance

Catalog no. K10632, January 2011, 342 pp.

ISBN: 978-1-4398-1250-1, $69.95 / £44.99 Also available as an eBook

New!

Risk Analysis in Finance and Insurance Second Edition Alexander Melnikov University of Alberta, Edmonton, Canada

Reorganized and expanded, this updated book introduces the main ideas, techniques, and stochastic models of financial mathematics. It explores the problems of managing insurance risks and examines the multiple intrinsic connections between insurance risks and financial risks.

With more examples and problems, this edition contains an expanded section on the foundations of probability and stochastic analysis and covers new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance.

Catalog no. C0525, April 2011, c. 328 pp.

ISBN: 978-1-4200-7052-1, $89.95 / £57.99

For more information and complete contents, visit www.crcpress.com

17

Statistics for Business, Finance & Economics New! Coming soon!

Extreme Value Methods with Applications to Finance

Handbook of Empirical Economics and Finance Edited by

Serguei Y. Novak

Aman Ullah

Middlesex University, London, UK

University of California, Riverside, USA

Extreme value theory is important for assessing the risk of highly unusual events, such as financial market crashes. Emphasizing dependent observations, this book presents a synthesis of research on the field. It covers several modern topics, such as compound Poisson approximation, that have not been focused on in other books. The text presents examples from finance and insurance to illustrate methods and includes exercises and solutions, making it useful for self-study or courses.

Catalog no. K11611, September 2011 c. 224 pp., ISBN: 978-1-4398-3574-6 $99.95 / £63.99

Coming soon!

Methods for Estimation and Inference in Modern Econometrics Stanislav Anatolyev New Economic School, Moscow, Russia

Nikolay Gospodinov Concordia University, Montreal, Quebec, Canada

This book discusses methods for efficient estimation in models defined by unconditional and conditional moment restrictions, inference in misspecified models, generalized empirical likelihood estimators, and alternative asymptotic approximations. The first chapter provides a general overview of established nonparametric and parametric approaches to estimation and conventional frameworks for statistical inference. The next several chapters focus on the estimation of models based on moment restrictions implied by economic theory. The final chapters cover nonconventional asymptotic tools that lead to improved finite-sample inference.

Catalog no. K11735, June 2011, c. 234 pp.

ISBN: 978-1-4398-3824-2, $89.95 / £57.99

18

David E.A. Giles University of Victoria, British Columbia, Canada

This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. Well-recognized experts emphasize inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines. Containing previously unpublished material on econometrics, the book provides a balanced viewpoint of different philosophical positions and statistical tools.

Catalog no. C7035, January 2011, 532 pp.

ISBN: 978-1-4200-7035-4, $149.95 / £95.00 Also available as an eBook

Textbook

Applied Statistics for Business and Economics Robert M. Leekley Illinois Wesleyan University, Bloomington, USA

“…this text does an outstanding job of integrating things on the mathematical level. … This is one of the few texts to try to make plausible the complex formula for two-sample t degrees of freedom when we do not assume the two variances are equal. … [Students] will like the clear and to the point writing.”

—MAA Reviews, September 2010

Catalog no. K10296, 2010, 496 pp.

ISBN: 978-1-4398-0568-8, $79.95 / £49.99 Also available as an eBook

Statistics for Psychology & Social Science Textbook Coming soon!

Modern Statistics for the Social and Behavioral Sciences A Practical Introduction Rand Wilcox

New!

Randomized Response and Indirect Questioning Techniques in Surveys Arijit Chaudhuri Indian Statistical Institute, Calcutta

This text introduces three major advances in the field: 1) sample size estimation needed to justify normality via the central limit theorem, 2) the impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related, and 3) the deleterious effects of heteroscedasticity on conventional ANOVA and regression methods. The book also provides a library of R functions.

For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining survey responses while maintaining the privacy of the respondents. Written by one of the leading experts on RR, this work describes the current state of RR as well as emerging developments in the field. The author explains how to extend RR to situations employing unequal probability sampling and gives his viewpoint on alternative RR techniques, including the item count technique, nominative technique, and three-card method.

Catalog no. K11557, June 2011, c. 868 pp.

ISBN: 978-1-4398-3456-5, $89.95 / £49.99

Catalog no. K11652, January 2011, 228 pp.

ISBN: 978-1-4398-3657-6, $99.95 / £76.99

University of Southern California, Los Angeles, USA

Also available as an eBook

Applied Survey Data Analysis Steven G. Heeringa, Brady T. West, and Patricia A. Berglund University of Michigan, Ann Arbor, USA

“… there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject.”

—International Statistical Review (2010), 78, 3

Coming soon!

Analysis of Questionnaire Data with R Bruno Falissard INSERM U669, Paris, France

Addressing the problem of inefficient collection and analysis of questionnaire data, this book proposes a methodology that uses R software. The author discusses principles of good questionnaire design; data management, capture, and manipulation; and descriptive statistics, scoring, reliability, and missing data. The book integrates discussion of R code and implementation throughout.

All the data sets and R code packages are provided on a companion website.

Catalog no. C8066, 2010, 487 pp.

ISBN: 978-1-4200-8066-7, $79.95 / £49.99

Catalog no. K10917, August 2011, c. 240 pp.

ISBN: 978-1-4398-1766-7, $89.95 / £57.99

Also available as an eBook

Also available as an eBook

For more information and complete contents, visit www.crcpress.com

19

Environmental Statistics

Statistical Genetics & Bioinformatics

New!

New!

Spatial Statistics

Bayesian Modeling in Bioinformatics

GeoSpatial Information Modeling and Thematic Mapping Mohammed A. Kalkhan

Edited by

Dipak K. Dey University of Connecticut, Storrs, USA

Colorado State University, Fort Collins, USA

Samiran Ghosh

This book reviews the types and applications of geospatial information data, such as remote sensing, GIS, and GPS, as well as their integration into landscape-scale geospatial statistical models and maps. Readers will learn the requirements and limitations of each geospatial tool. Along with statistical data analysis methods, the text includes laboratory exercises using ArcInfo, ArcGIS, ArcView, ERDAS-IMAGINE, and other popular software for geospatial modeling. It also features case studies with examples.

Bani K. Mallick

Catalog no. 69764, April 2011, c. 184 pp.

ISBN: 978-1-4200-6976-1, $79.95 / £33.99

Weill Cornell Medical College, White Plains, New York, USA Texas A&M University, College Station, USA

This volume discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research. It presents a broad overview of statistical inference, clustering, and classification problems in microarray gene expression and phylogenic analysis. The book covers a variety of recently developed Bayesian techniques, along with applications in genome-wide studies, phylogenetics, breast cancer, expression genomics, and more.

Catalog no. C7017, January 2011, 466 pp.

ISBN: 978-1-4200-7017-0, $89.95 / £57.99

New!

Also available as an eBook

Local Models for Spatial Analysis

New!

Second Edition Christopher D. Lloyd Queen’s University, Belfast, Northern Ireland, UK

Introduction to Computational Proteomics Golan Yona Stanford University, California, USA

With new chapters addressing spatial patterning in single variables and spatial relations, this second edition provides guidance to a wide variety of real-world problems. It presents a complete introduction to key concepts and explores connections between methods. In addition, every chapter now includes links to key related studies.

The author clearly distinguishes between local and global methods and provides more detailed coverage of geographical weighting, image texture measures, local spatial autocorrelation, and multicollinearity and geographically weighted regression.

This introduction tackles the different steps and problems involved with protein analysis, classification, and meta-organization. It starts with the analysis of individual entities and works its way through the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks. The book presents methods for identifying the building blocks of the protein space as well as mathematical models for representing protein families and classifying new instances. It also covers methods that utilize the application of unsupervised learning algorithms.

Catalog no. K11433, January 2011, 352 pp.

ISBN: 978-1-4398-2919-6, $89.95 / £57.99

Catalog no. C5556, January 2011, 767 pp.

ISBN: 978-1-58488-555-9, $89.95 / £57.99

Also available as an eBook

Also available as an eBook

20

Statistics for Biological Sciences

Statistics for Biological Sciences

Textbook New!

Textbook New!

An Introduction to Stochastic Processes with Applications to Biology

Modelling and Quantitative Methods in Fisheries

Second Edition

Malcolm Haddon

Linda J.S. Allen

CSIRO, Hobart, Tasmania, Australia

Texas Tech University, Lubbock, USA

With numerous real-world examples, this text provides an introduction to the analytical methods used by fisheries’ scientists and ecologists.

The author presents full, step-by-step derivations of equations as much as possible to enable a thorough understanding of the models and methods.

This edition incorporates two new chapters on characterizing uncertainty and size-based models.

Excel workbooks are available for download from CRC Press Online.

Focusing on discrete and continuous time Markov chains and continuous time and state Markov processes, this text presents the basic theory of stochastic processes necessary to understand and apply stochastic methods to biological problems.

This edition contains a new chapter on stochastic differential equations that extends basic theory to multivariate processes. Along with additional references, it now includes examples and exercises from cellular and molecular biology and doubles the number of exercises and MATLAB® programs at the end of each chapter.

Catalog no. K10993, January 2011, 490 pp.

ISBN: 978-1-4398-1882-4, $89.95 / £39.99

Second Edition

Catalog no. C561X, March 2011, 465 pp.

ISBN: 978-1-58488-561-0, $79.95 / £39.99

Statistics for Engineering & Physical Science

Also available as an eBook

Textbook New!

Textbook New!

Transportation Statistics and Microsimulation

Introduction to Statistical Data Analysis for the Life Sciences Claus Thorn Ekstrom and Helle Sorensen University of Copenhagen, Denmark

Developed from the authors’ courses at the University of Copenhagen, this text provides a computational toolbox that enables readers to perform actual analysis for real data sets as well as the confidence and skills to undertake more sophisticated analyses as their careers progress.

While the main text can be used with any statistical software, the authors encourage a reliance on R. Data sets used in the book are available on a supporting website.

Catalog no. K11221, January 2011, 427 pp.

Soft Cover, ISBN: 978-1-4398-2555-6 $69.95 / £31.99 Also available as an eBook

Clifford Spiegelman Texas A&M University, College Station, USA

Eun Sug Park Texas Transportation Institute, College Station, USA

Laurence R. Rilett University of Nebraska, Lincoln, USA

By discussing statistical concepts in the context of transportation planning and operations, this text provides the necessary background for making informed transportation-related decisions. It explains the why behind standard methods and uses realworld transportation examples and problems to illustrate key concepts. The book covers the statistical techniques most frequently employed by transportation and pavement professionals. Problems can be solved using SAS’s JMP package, which enables users to interactively explore and visualize data.

Catalog no. K10032, January 2011, 383 pp.

ISBN: 978-1-4398-0023-2, $59.95 / £36.99 Also available as an eBook

For more information and complete contents, visit www.crcpress.com

21

Statistics for Engineering & Physical Science Textbook New!

New!

Statistical and Econometric Methods for Transportation Data Analysis

Modeling Survival Data Using Frailty Models

Second Edition

University of Pune, India

Simon P. Washington, Matthew G. Karlaftis, and Fred L. Mannering With many examples and case studies covering transportation planning, engineering, safety, and economics, this update of a bestseller provides an understanding of a broad range of analytical tools required to solve transportation problems. This second edition 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.

David D. Hanagal Frailty models have been introduced into the statistical literature to account for the existence of unmeasured attributes, such as genotypes that introduce heterogeneity into a study population.

With inference results, applications, and references, this book presents the basic concepts of frailty models in survival analysis. The author also addresses advanced topics in frailty models, including estimation procedures, tests for frailty, and additive frailty models. He covers frailty models based on Levy processes as well as correlated frailty models.

Catalog no. K11657, January 2011, 334 pp.

ISBN: 978-1-4398-3667-5, $89.95 / £57.99 Also available as an eBook

Catalog no. C285X, January 2011, 544 pp.

ISBN: 978-1-4200-8285-2, $99.95 / £63.99 Also available as an eBook

Textbook New!

Probability, Statistics, and Reliability for Engineers and Scientists Third Edition Bilal M. Ayyub and Richard McCuen University of Maryland, College Park, USA

The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications.

It 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 the analysis of variance and a thorough treatment of Monte Carlo simulation.

Catalog no. K10476, April 2011, c. 663 pp.

ISBN: 978-1-4398-0951-8, $119.95 / £76.99

22

New!

Statistical Process Control for Real-World Applications William A. Levinson Levinson Productivity Systems, Wilkes-Barre, Pennsylvania, USA

This book equips readers to deal with non-normal applications scientifically and to explain the methodology to suppliers and customers. It shows how to handle uncooperative real-world processes that do not follow textbook assumptions. The text explains how to set realistic control limits and calculate meaningful process capability indices for non-normal applications.

Highlighting the pitfalls of assuming normality for all processes, the book addresses multivariate systems, nested variation sources, as well as lognormal, gamma, and Weibull distributions.

Catalog no. K11055, January 2011, 272 pp.

ISBN: 978-1-4398-2000-1, $79.95 / £49.99 Also available as an eBook

New Books on

Statistical Theory, Methods & Applications “It’s a lovely book, one that I hope will be widely adopted as a course textbook.”

—Michael Jordan, University of California, Berkeley, USA

“A careful, complete, and lovingly written exposition of the subjective Bayesian viewpoint by one of its most eloquent and staunch defenders.

Summarizes a lifetime of theory, methods, and application developments for the Bayesian inferential engine. A must-read for anyone looking for a deep understanding of the foundations of Bayesian methods and what they offer modern statistical practice.”

—Bradley P. Carlin, University of Minnesota, Minneapolis, USA

Catalog no. K12848 May 2011, c. 513 pp.

ISBN: 978-1-4398-6161-5 $89.95 / £57.99

“… The author list is world-class, developing 24 chapters, half on the theory side, half on applications. The handbook provides a state-of-the-art view of a technology that has revolutionized contemporary model fitting.

Researchers at all levels of familiarity with MCMC will find novel morsels of material to chew on.”

—Alan E. Gelfand, Duke University, Durham, North Carolina, USA

“In my opinion, this is the most significant book of its kind since the 1995 Chapman & Hall/CRC book, MCMC in Practice, edited

by Gilks, Richardson and Spiegelhalter. It is a must-read for anyone wanting a comprehensive, modern, and in-depth look at MCMC.” —Bradley P. Carlin, University of Minnesota, Minneapolis, USA

Catalog no. C7941, May 2011 c. 619 pp., ISBN: 978-1-4200-7941-8 $99.95 / £63.99

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