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Table of Contents Introductory Statistics ...............................................3 Statistical Theory & Methods....................................3 Computational Statistics............................................6 Biostatistics & Epidemiology......................................7 Statistics for Engineering, Physical Science, and Computer Science..............................................8 Statistics for Business, Finance, and Economics........10 Statistics for the Biological Sciences.........................11 Page 3
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Statistics for Social Science & Psychology................12
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JTP14_gtr
Introductory Statistics / Statistical Theory & Methods Probability and Statistics with R Second Edition
Analysis of Categorical Data with R
Maria Dolores Ugarte and Ana F. Militino
Christopher R. Bilder
Public University of Navarre, Pamplona, Spain
Alan T. Arnholt Appalachian State University, Boone, North Carolina, USA
Since the publication of the popular first edition, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. This second edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs. Along with adding new examples and exercises, this edition improves the existing examples, problems, concepts, data, and functions. Data sets, R functions, and more are available online. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466504394 Print ISBN: 978-1-4665-0439-4 July 2015, 7 x 10, 983 pp. Suggested Price: $89.95 / £57.99
University of Nebraska–Lincoln, USA
Thomas M. Loughin Simon Fraser University, Surrey, British Columbia, Canada Series: Chapman & Hall/CRC Texts in Statistical Science
This text covers model building and assessment methods for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The text incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R code and output. Data sets, R programs, and in-class recorded videos are available on the book’s website. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439855676 Print ISBN: 978-1-4398-5567-6 eBook ISBN: 978-1-4398-5569-0 August 2014, 7 x 10, 547 pp. Suggested Price: $89.95 / £49.99
Using R for Introductory Statistics
Bayesian Data Analysis
Second Edition
Third Edition
John Verzani CUNY/College of Staten Island, New York, USA
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin
Series: Chapman & Hall/CRC The R Series
Series: Chapman & Hall/CRC Texts in Statistical Science
The second edition of this bestselling textbook guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular while updating data, examples, and changes to R in line with the current version. A solutions manual and figure slides are available upon qualifying course adoption.
Now in its third edition, this classic book continues to take an applied approach to analysis using up-to-date Bayesian methods. Along with new and revised software code, this edition 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.
http://www.crcpress.com/product/isbn/9781466590731 Print ISBN: 978-1-4665-9073-1 eBook ISBN: 978-1-4665-9076-2 June 2014, 6-1/8 x 9-1/4, 518 pp. Suggested Price: $59.95 / £38.99
http://www.crcpress.com/product/isbn/9781439840955 Print ISBN: 978-1-4398-4095-5 eBook ISBN: 978-1-4398-4096-2 November 2013, 7 x 10, 675 pp. Suggested Price: $69.95 / £44.99
Mathematical Statistics
Linear Models with R
Basic Ideas and Selected Topics, Volume II
Second Edition
Peter J. Bickel
Julian J. Faraway
University of California, Berkeley, USA
University of Bath, UK
Kjell A. Doksum
Series: Chapman & Hall/CRC Texts in Statistical Science
University of Wisconsin, Madison, USA Series: Chapman & Hall/CRC Texts in Statistical Science
This second volume focuses on inference in non- and semiparametric models, including topics in machine learning. It not only reexamines the procedures introduced in the authors’ first volume from a more sophisticated point of view but also addresses new problems originating from the analysis of estimation of functions and other complex decision procedures and large-scale data analysis. Numerous examples and problems illustrate statistical modeling and inference concepts. Measure theory is not required for understanding. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781498722681 Print ISBN: 978-1-4987-2268-1 September 2015, 7 x 10, 468 pp., Pack - Book and Ebook Suggested Price: $99.95 / £63.99
Like its widely praised, bestselling predecessor, this second edition explains how to use linear models in physical science, engineering, social science, and business applications. The material on interpreting linear models now distinguishes the main applications of prediction and explanation and introduces elementary notions of causality. This edition also covers QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates. It extensively uses R’s ggplot2 graphics package in addition to base graphics. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439887332 Print ISBN: 978-1-4398-8733-2 eBook ISBN: 978-1-4822-5641-3 July 2014, 6-1/8 x 9-1/4, 286 pp. Suggested Price: $89.95 / £57.99
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3
Statistical Theory & Methods Introduction to Probability
Data Science in R
Joseph K. Blitzstein
A Case Studies Approach to Computational Reasoning and Problem Solving
Harvard University, Cambridge, Massachusetts, USA
Jessica Hwang Stanford University, California, USA Series: Chapman & Hall/CRC Texts in Statistical Science
Assuming one semester of calculus, this textbook introduces probability to undergraduate students who want to learn statistics. It clearly explains the importance of widely used distributions in statistics, such as normal, binomial, and Poisson, and explores how they are all connected. The book makes the distributions easier to remember, understand, and work with by illustrating natural applications where they arise, including applications of MCMC. R is used to perform statistical calculations. A solutions manual, instructor’s manual, and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466575578
Deborah Nolan University of California, Berkeley, USA
Duncan Temple Lang University of California, Davis, USA Series: Chapman & Hall/CRC The R Series
This book explains the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book’s collection of projects, exercises, and sample solutions encompass practical topics pertaining to data processing and analysis. The book can be used for self-study or as supplementary reading in a statistical computing course, allowing students to gain valuable data science skills.
Print ISBN: 978-1-4665-7557-8 eBook ISBN: 978-1-4987-0478-6 July 2014, 7 x 10, 596 pp., Pack - Book and Ebook Suggested Price: $99.95 / £49.99
http://www.crcpress.com/product/isbn/9781482234817
Statistical Inference
Mathematical Statistics
An Integrated Approach, Second Edition Helio S. Migon and Dani Gamerman
Basic Ideas and Selected Topics, Volume I, Second Edition
Universidade Federal do Rio de Janeiro, Brazil
Peter J. Bickel
Francisco Louzada
Print ISBN: 978-1-4822-3481-7 eBook ISBN: 978-1-4822-3482-4 April 2015, 7 x 10, 539 pp., Soft Cover Suggested Price: $79.95 / £49.99
University of California, Berkeley, USA
Universidade Federal de São Carlos, Brazil Series: Chapman & Hall/CRC Texts in Statistical Science
Kjell A. Doksum University of Wisconsin, Madison, USA
This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference. Along with more examples and exercises, this second edition includes new material on empirical Bayes and penalized likelihoods and their impact on regression models and offers expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models. It also compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Figure slides are available upon qualifying course adoption.
Series: Chapman & Hall/CRC Texts in Statistical Science
http://www.crcpress.com/product/isbn/9781439878804
http://www.crcpress.com/product/isbn/9781498723800
Print ISBN: 978-1-4398-7880-4 eBook ISBN: 978-1-4987-0872-2 September 2014, 6-1/8 x 9-1/4, 385 pp. Suggested Price: $89.95 / £57.99
Print ISBN: 978-1-4987-2380-0 eBook ISBN: 978-1-4987-2382-4 April 2015, 7 x 10, 576 pp., Pack - Book and Ebook Suggested Price: $99.95 / £63.99
Introduction to Multivariate Analysis
Nonparametric Statistical Methods Using R
Linear and Nonlinear Modeling
John Kloke
Sadanori Konishi
University of Pittsburgh, Pennsylvania, USA
Joseph W. McKean
Chuo University, Tokyo, Japan Series: Chapman & Hall/CRC Texts in Statistical Science
This text shows how to use multivariate analysis to extract useful information from multivariate data and understand the structure of random phenomena. Along with the basic concepts of various procedures in traditional multivariate analysis, the book covers nonlinear techniques for clarifying phenomena behind observed multivariate data. It primarily focuses on regression modeling, classification, discrimination, dimension reduction, and clustering. Many examples and figures throughout facilitate a deep understanding of the multivariate analysis techniques, including how to select the optimal model. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466567283 Print ISBN: 978-1-4665-6728-3 eBook ISBN: 978-1-4822-5621-5 June 2014, 6-1/8 x 9-1/4, 338 pp. Suggested Price: $89.95 / £57.99
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This first volume presents fundamental, classical statistical concepts at the doctorate level without using measure theory. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods. The book includes in-depth examples throughout as well as many exercises at the end of each chapter. A solutions manual and figure slides are available upon qualifying course adoption.
Western Michigan University, Kalamazoo, USA Series: Chapman & Hall/CRC The R Series
This book covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm, which are available on CRAN. Each chapter includes exercises, making the book suitable for an undergraduate or graduate course. http://www.crcpress.com/product/isbn/9781439873434 Print ISBN: 978-1-4398-7343-4 eBook ISBN: 978-1-4398-7344-1 October 2014, 6-1/8 x 9-1/4, 287 pp. Suggested Price: $79.95 / £49.99
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Statistical Theory & Methods Linear Algebra and Matrix Analysis for Statistics
Nonparametric Methods in Statistics with SAS Applications
Sudipto Banerjee
Olga Korosteleva
University of Minnesota School of Public Health, Minneapolis, USA
California State University, Long Beach, USA
Anindya Roy
Series: Chapman & Hall/CRC Texts in Statistical Science
University of Maryland Baltimore County, USA Series: Chapman & Hall/CRC Texts in Statistical Science
Assuming no prior knowledge of linear algebra, this selfcontained text offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book covers important topics in linear algebra that are useful for statisticians, including the concept of rank, the fundamental theorem of linear algebra, projectors, and quadratic forms. It also provides an extensive collection of exercises on theoretical concepts and numerical computations. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781420095388 Print ISBN: 978-1-4200-9538-8 eBook ISBN: 978-1-4398-0011-9 June 2014, 6-1/8 x 9-1/4, 580 pp. Suggested Price: $79.95 / £49.99
This classroom-tested book teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods. 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. http://www.crcpress.com/product/isbn/9781466580626 Print ISBN: 978-1-4665-8062-6 eBook ISBN: 978-1-4665-8066-4 August 2013, 6-1/8 x 9-1/4, 195 pp., Soft Cover Suggested Price: $69.95 / £44.99
Stochastic Modeling and Mathematical Statistics
Statistical Methods for Handling Incomplete Data
A Text for Statisticians and Quantitative Scientists
Jae Kwang Kim and Jun Shao
Francisco J. Samaniego University of California, Davis, USA Series: 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 in their junior or senior year as well as for graduate students in the quantitative sciences. The book serves two different audiences: (a) majors and minors in mathematics and statistics and (b) students in quantitative disciplines with 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. http://www.crcpress.com/product/isbn/9781466560468 Print ISBN: 978-1-4665-6046-8 eBook ISBN: 978-1-4665-6047-5 January 2014, 7 x 10, 622 pp. Suggested Price: $89.95 / £57.99
Along with many examples, this text covers 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. Some of the research ideas introduced can be developed further for specific applications. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439849637 Print ISBN: 978-1-4398-4963-7 eBook ISBN: 978-1-4398-4964-4 July 2013, 6-1/8 x 9-1/4, 223 pp. Suggested Price: $94.95 / £59.99
Richly Parameterized Linear Models
Statistical Theory
Additive, Time Series, and Spatial Models Using Random Effects
Felix Abramovich
James S. Hodges University of Minnesota, Minneapolis, USA Series: 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. http://www.crcpress.com/product/isbn/9781439866832 Print ISBN: 978-1-4398-6683-2 eBook ISBN: 978-1-4398-6684-9 November 2013, 6-1/8 x 9-1/4, 469 pp. Suggested Price: $94.95 / £59.99
A Concise Introduction Tel Aviv University, Israel
Ya’acov Ritov The Hebrew University of Jerusalem, Israel Series: 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 introduces these topics on a clear intuitive level using 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. http://www.crcpress.com/product/isbn/9781439851845 Print ISBN: 978-1-4398-5184-5 eBook ISBN: 978-1-4398-5185-2 April 2013, 6-1/8 x 9-1/4, 240 pp. Suggested Price: $71.95 / £45.99
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5
Statistical Theory & Methods / Computational Statistics Understanding Advanced Statistical Methods
Foundations of Statistical Algorithms
Peter H. Westfall
With References to R Packages
Texas Tech University, Lubbock, USA
Kevin S.S. Henning Sam Houston State University, Huntsville, Texas, USA Series: 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. It leads them to think differently not only about math and statistics but also about general research and the scientific method. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466512108 Print ISBN: 978-1-4665-1210-8 eBook ISBN: 978-1-4665-1212-2 April 2013, 7 x 10, 569 pp. Suggested Price: $83.95 / £46.99
Claus Weihs, Olaf Mersmann, and Uwe Ligges TU Dortmund University, Germany Series: 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 and verification, iteration, intuition, randomness, repetition and 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. It offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439878859 Print ISBN: 978-1-4398-7885-9 eBook ISBN: 978-1-4398-7887-3 December 2013, 6-1/8 x 9-1/4, 474 pp. Suggested Price: $83.95 / £40.99
Generalized Linear Mixed Models
A Gentle Introduction to Stata
Modern Concepts, Methods and Applications
Revised Third Edition
Walter W. Stroup
Oregon State University, Corvallis, USA
University of Nebraska–Lincoln, USA
Updated to reflect the new features of Stata 11, this third edition continues to help new Stata users become proficient in Stata. After reading this introductory text, students will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses. 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.
Series: Chapman & Hall/CRC Texts in Statistical Science
With numerous examples using SAS® PROC GLIMMIX, this text presents an introduction to linear modeling using the generalized linear mixed model as an overarching conceptual framework. For students 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. http://www.crcpress.com/product/isbn/9781439815120 Print ISBN: 978-1-4398-1512-0 eBook ISBN: 978-1-4665-5587-7 September 2012, 7 x 10, 555 pp. Suggested Price: $93.95 / £59.99
Alan C. Acock
http://www.crcpress.com/product/isbn/9781597181099 Print ISBN: 978-1-59718-109-9 March 2012, 7-1/4 x 9-1/4, 401 pp., Soft Cover Suggested Price: $79.95 / £49.99
Design and Analysis of Experiments with R
Probability and Statistics for Computer Scientists
John Lawson
Second Edition
Brigham Young University, Provo, Utah, USA Series: Chapman & Hall/CRC Texts in Statistical Science
This text presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results. R code is used to create and analyze all the example experiments, with the code examples available on the author’s website. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439868133 Print ISBN: 978-1-4398-6813-3 eBook ISBN: 978-1-4398-6814-0 December 2014, 6-1/8 x 9-1/4, 620 pp. Suggested Price: $99.95 / £63.99
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Michael Baron University of Texas at Dallas, Richardson, USA
Meeting the ABET requirements for probability and statistics, this text helps students 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. http://www.crcpress.com/product/isbn/9781597181099 Print ISBN: 978-1-4398-7590-2 eBook ISBN: 978-1-4822-1411-6 August 2013, 7 x 10, 449 pp. Suggested Price: $99.95 / £63.99
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Biostatistics & Epidemiology Fundamental Concepts for New Clinical Trialists
Modelling Survival Data in Medical Research
Scott Evans
Third Edition
Harvard School of Public Health, Boston, Massachusetts, USA
Naitee Ting Boehringer-Ingelheim, Ledyard, Connecticut, USA Series: Chapman & Hall/CRC Biostatistics
This book provides an overview of fundamental concepts important to statisticians working with clinical trials. It offers complete coverage of issues in all phases of clinical trials, including design, data monitoring, analyses, interpretation, and reporting. It examines aspects related to product development and regulation and then discusses the attributes that statisticians can acquire to maximize their contribution to research. The authors provide balanced, practical guidance on how statisticians can apply their knowledge to address real-world clinical trial issues. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781420090871 Print ISBN: 978-1-4200-9087-1 October 2015, 6-1/8 x 9-1/4, 347 pp. Suggested Price: $79.95 / £49.99
David Collett NHS Blood and Transplant Series: Chapman & Hall/CRC Texts in Statistical Science
Well known for its nontechnical style, this popular survival analysis textbook contains new chapters on frailty models and their applications, competing risks, non-proportional hazards, and dependent censoring. It also describes techniques for modeling the occurrence of multiple events and event history analysis. Earlier chapters are now expanded to include new material on a number of topics, including measures of predictive ability and flexible parametric models. Many new data sets and examples illustrate how all these techniques are used in modeling survival data. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439856789 Print ISBN: 978-1-4398-5678-9 eBook ISBN: 978-1-4398-5679-6 December 2014, 6-1/8 x 9-1/4, 548 pp. Suggested Price: $79.95 / £44.99 Also Available in Soft Cover
Statistical Design and Analysis of Clinical Trials
Inference Principles for Biostatisticians
Principles and Methods
Ian C. Marschner
Weichung Joe Shih
Series: Chapman & Hall/CRC Biostatistics
Rutgers University School of Public Health, Piscataway, New Jersey, USA
This text gives graduate students with diverse backgrounds across the health, medical, social, and mathematical sciences a solid, unified foundation in the principles of statistical inference. Drawing on his extensive experience teaching graduate-level biostatistics courses and working in the pharmaceutical industry, the author covers the theoretical underpinnings essential to understanding subsequent core methodologies in the field. Extended examples illustrate key concepts in depth using a specific biostatistical context and simple R functions are provided for conducting simulation studies. Figure slides are available upon qualifying course adoption.
Joseph Aisner Rutgers University Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA Series: Chapman & Hall/CRC Biostatistics
Developed from the authors’ courses taught to public health and medical students, residents, and fellows, this text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The authors cover design concepts and sample size calculation; analytical methods; trial monitoring with sequential designs, interim analyses, and adaptive midcourse modification; and the ubiquitous problem of missing data. The text includes many examples of real trials as well as homework assignments and in-class exercises. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781482250497
http://www.crcpress.com/product/isbn/9781482222234 Print ISBN: 978-1-4822-2223-4 eBook ISBN: 978-1-4822-2225-8 December 2014, 6-1/8 x 9-1/4, 274 pp. Suggested Price: $79.95 / £49.99
Print ISBN: 978-1-4822-5049-7 August 2015, 6-1/8 x 9-1/4, 244 pp. Suggested Price: $79.95 / £49.99
Spatio-Temporal Methods in Environmental Epidemiology
Epidemiology
Gavin Shaddick and James V. Zidek
Study Design and Data Analysis, Third Edition
Series: Chapman & Hall/CRC Texts in Statistical Science
Mark Woodward
This is the first book of its kind to specifically address the interface between environmental epidemiology and spatiotemporal modeling. The book links recent developments in spatio-temporal methodology with epidemiological applications. Drawing on real-life problems, it provides the tools required to exploit recent advances in methodology when assessing the health risks associated with environmental hazards. The text includes practical examples together with embedded R code, details of specific R packages, and other software, including WinBUGS/OpenBUGS and INLA. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781482237030 Print ISBN: 978-1-4822-3703-0 eBook ISBN: 978-1-4987-3976-4 June 2015, 6-1/8 x 9-1/4, 395 pp. Suggested Price: $89.95 / £57.99
University of Oxford, UK; University of Sydney, Australia; and Johns Hopkins University, Baltimore, Maryland, USA Series: Chapman & Hall/CRC Texts in Statistical Science
Updated and expanded, this popular text focuses on the quantitative aspects of epidemiological research. 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 computerintensive 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. http://www.crcpress.com/product/isbn/9781439839706 Print ISBN: 978-1-4398-3970-6 eBook ISBN: 978-1-4398-3971-3 December 2013, 7 x 10, 854 pp. Suggested Price: $99.95 / £49.99
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7
Statistics for Engineering, Physical Science, & Computer Science Medical Biostatistics
Numerical Analysis for Engineers
Third Edition Abhaya Indrayan
Methods and Applications, Second Edition
Series: Chapman & Hall/CRC Biostatistics
Bilal Ayyub and Richard H. McCuen
This acclaimed book focuses on the statistical aspects of medicine with a medical perspective, 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 incorporates software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous real-world examples. Guide charts at the beginning of the book enable quick access to the relevant statistical procedure, and the comprehensive index makes it easier to locate terms of interest. Figure slides are available upon qualifying course adoption.
University of Maryland, College Park, USA Series: Textbooks in Mathematics
Designed for a one-semester undergraduate introduction to numerical methods, this text covers both the theory and practice of numerical methods for mathematics and engineering. With a wealth of exercises, it emphasizes the practical aspects of numerical methods and addresses their advantages and disadvantages. Novices and practicing engineers will understand the fundamentals, limitations, and potential of numerical methods. A solutions manual and figure slides are available upon qualifying course adoption.
http://www.crcpress.com/product/isbn/9781439884140
http://www.crcpress.com/product/isbn/9781482250350
Print ISBN: 978-1-4398-8414-0 eBook ISBN: 978-1-4665-1391-4 August 2012, 6-1/8 x 9-1/4, 1024 pp. Suggested Price: $139.95 / £89.00
Print ISBN: 978-1-4822-5035-0 October 2015, 7 x 10, 456 pp. Suggested Price: $99.95 / £63.99
Basic Statistics and Pharmaceutical Statistical Applications
Statistical Learning with Sparsity
Third Edition
Trevor Hastie and Robert Tibshirani
The Lasso and Generalizations Stanford University, California, USA
James E. De Muth University of Wisconsin–Madison, USA Series: Pharmacy Education
This popular text covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving. Incorporating new material in virtually every chapter, this third edition now provides information on software applications to assist with evaluating data. It dispels some of the anxiety associated with using basic statistical tests in the pharmacy profession and helps students correctly interpret their results using statistical software. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466596733 Print ISBN: 978-1-4665-9673-3 eBook ISBN: 978-1-4665-9676-4 April 2014, 6-1/8 x 9-1/4, 847 pp. Suggested Price: $89.95 / £57.99
Martin Wainwright University of California, Berkeley, USA Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability
In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. The authors cover the lasso for linear regression, generalized penalties, numerical methods for optimization, statistical inference methods for fitted (lasso) models, sparse multivariate analysis, graphical models, compressed sensing, and much more. http://www.crcpress.com/product/isbn/9781498712163 Print ISBN: 978-1-4987-1216-3 eBook ISBN: 978-1-4987-1217-0 May 2015, 6-1/8 x 9-1/4, 367 pp. Suggested Price: $89.95 / £57.99
Statistics for Engineering and the Sciences
Bayesian Networks
Sixth Edition
Marco Scutari Jean-Baptiste Denis
William M. Mendenhall and Terry L. Sincich This text is designed for a two-semester introductory statistics course for students majoring in engineering or any of the physical sciences. Once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781498728850 Print ISBN: 978-1-4987-2885-0 November 2015, 8 x 10, 1136 pp. Suggested Price: $119.95 / £50.99
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With Examples in R INRA, Jouy-en-Josas, France Series: Chapman & Hall/CRC Texts in Statistical Science
Suitable for graduate students and non-statisticians, this text introduces Bayesian networks using a hands-on approach with simple yet meaningful examples in R illustrating each step of the modeling process. The book explains the whole process of Bayesian network modeling, from structure learning to parameter learning to inference. It also gives a concise but rigorous treatment of the fundamentals of Bayesian networks, offers an introduction to causal Bayesian networks, and evaluates real-world examples involving causal protein signaling and body composition prediction. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781482225587 Print ISBN: 978-1-4822-2558-7 eBook ISBN: 978-1-4822-2560-0 June 2014, 6-1/8 x 9-1/4, 241 pp. Suggested Price: $89.95 / £57.99
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Statistics for Engineering, Physical Science, & Computer Science Risk Analysis in Engineering and Economics Second Edition
Introduction to Linear Optimization and Extensions with MATLAB®
Bilal M. Ayyub
Roy H. Kwon
University of Maryland, College Park, USA
Containing contemporary case studies, such as protecting hurricane-prone regions and critical infrastructure, this second edition covers risk finance, predictive risk management, and performance segregation and aggregation within a risk framework. To help students translate the techniques into real-world solutions, the book includes a wealth of new and updated end-of-chapter problems, 320+ tables and figures, over 110 diverse examples, numerous references, and a bibliography. Homeland security applications are also incorporated throughout. A solutions manual is available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466518254 Print ISBN: 978-1-4665-1825-4 eBook ISBN: 978-1-4665-1826-1 March 2014, 7 x 10, 640 pp. Suggested Price: $129.95 / £82.00
University of Toronto, Canada Series: 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. http://www.crcpress.com/product/isbn/9781439862636 Print ISBN: 978-1-4398-6263-6 eBook ISBN: 978-1-4398-6264-3 September 2013, 6-1/8 x 9-1/4, 362 pp. Suggested Price: $104.95 / £66.99
Introduction to Statistical Process Control
Probabilistic Models for Dynamical Systems
Peihua Qiu
Second Edition
University of Florida, Gainesville, USA Series: Chapman & Hall/CRC Texts in Statistical Science
A major tool for quality control and management, 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. http://www.crcpress.com/product/isbn/9781439847992 Print ISBN: 978-1-4398-4799-2 eBook ISBN: 978-1-4398-4802-9 October 2013, 6-1/8 x 9-1/4, 520 pp. Suggested Price: $94.95 / £59.99
Haym Benaroya, Seon Mi Han, and Mark Nagurka This book provides a self-contained introduction to probabilistic modeling for dynamic systems. It introduces engineering students, especially those with an interest in dynamic systems, to randomness in variables, timedependent functions, and solution methods of the governing equations. Extensive discussions are also provided 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. http://www.crcpress.com/product/isbn/9781439849897 Print ISBN: 978-1-4398-4989-7 eBook ISBN: 978-1-4665-9464-7 May 2013, 7 x 10, 764 pp. Suggested Price: $125.95 / £79.99
Stationary Stochastic Processes for Scientists and Engineers
Probability Foundations for Engineers
Georg Lindgren, Holger Rootzen, and Maria Sandsten
Joel A. Nachlas
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 is available online. http://www.crcpress.com/product/isbn/9781466586185 Print ISBN: 978-1-4665-8618-5 eBook ISBN: 978-1-4822-0634-0 October 2013, 6-1/8 x 9-1/4, 330 pp. Suggested Price: $83.95 / £49.99
Virginia 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. The book covers set theory, probability and its axioms, conditional probability, independence, and approximations. Examples are not presented in terms of “balls in urns.” Many examples do 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. http://www.crcpress.com/product/isbn/9781466502994 Print ISBN: 978-1-4665-0299-4 eBook ISBN: 978-1-4665-1126-2 May 2012, 6-1/8 x 9-1/4, 184 pp. Suggested Price: $132.95 / £85.00
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Statistics for Business, Finance, & Economics Probability, Statistics, and Reliability for Engineers and Scientists Third Edition Bilal M. Ayyub and Richard H. 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 ANOVA and 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. http://www.crcpress.com/product/isbn/9781439809518
Pricing in General Insurance Pietro Parodi Swiss Re, London, UK
This book is based on the syllabus of the actuarial industry course on general insurance pricing. It delivers a practical introduction to all aspects of general insurance pricing, covering data preparation, frequency analysis, severity analysis, Monte Carlo simulation for the calculation of aggregate losses, and burning cost analysis. Providing case studies, examples, exercises, and step-by-step methods, the text presents pricing as a formalized process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466581449 Print ISBN: 978-1-4665-8144-9 October 2014, 7 x 10, 584 pp. Suggested Price: $99.95 / £59.99
Print ISBN: 978-1-4398-0951-8 eBook ISBN: 978-1-4398-0952-5 April 2011, 7 x 10, 663 pp. Suggested Price: $132.95 / £85.00
Statistics for Finance
Financial Mathematics
Erik Lindström, Henrik Madsen, and Jan Nygaard Nielsen
A Comprehensive Treatment
Series: Chapman & Hall/CRC Texts in Statistical Science
Wilfrid Laurier University, Waterloo, Ontario, Canada
This text develops students’ professional skills in statistics with applications in finance. It bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The authors explain how various statistical and mathematical tools are used to price financial derivatives, identify interest rate models, and much more. The book includes examples, case studies, cross references, and end-of-chapter problems. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781482228991 Print ISBN: 978-1-4822-2899-1 eBook ISBN: 978-1-4822-2902-8 April 2015, 6-1/8 x 9-1/4, 384 pp. Suggested Price: $89.95 / £57.99
Giuseppe Campolieti and Roman N. Makarov Series: Chapman & Hall/CRC Financial Mathematics
Tested and refined through years of the authors’ teaching experiences, this text provides a unified, self-contained account of the main theory and application of methods behind modern-day financial mathematics. With an abundance of examples, problems, and fully worked out solutions, the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. Unlike similar texts in the field, this one presents multiple problemsolving approaches, linking related comprehensive techniques for pricing different types of financial derivatives. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439892428 Print ISBN: 978-1-4398-9242-8 eBook ISBN: 978-1-4398-9243-5 March 2014, 7 x 10, 829 pp. Suggested Price: $89.95 / £57.99
Mathematical Statistics for Applied Econometrics
Stochastic Processes with Applications to Finance
Charles B. Moss
Second Edition
University of Florida, Gainesville, USA
Avoiding a cookbook approach to econometrics, this textbook develops students’ theoretical understanding of statistical tools and econometric applications. It covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations and helps them think about statistics as more than a toolbox of techniques. Each chapter includes a summary, review questions, and numerical exercises. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466594098 Print ISBN: 978-1-4665-9409-8 eBook ISBN: 978-1-4665-9411-1 October 2014, 6-1/8 x 9-1/4, 363 pp. Suggested Price: $89.95 / £57.99
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Masaaki Kijima Tokyo Metropolitan University, Japan Series: 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. This second edition covers several important developments in the financial industry. Along with many more examples, it 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. http://www.crcpress.com/product/isbn/9781439884829 Print ISBN: 978-1-4398-8482-9 eBook ISBN: 978-1-4665-9283-4 April 2013, 6-1/8 x 9-1/4, 343 pp. Suggested Price: $94.95 / £59.99
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Statistics for Business, Finance, & Economics / Statistics for Biological Sciences Stochastic Finance An Introduction with Market Examples
Monte Carlo Simulation with Applications to Finance
Nicolas Privault
Hui Wang
Nanyang Technological University, Singapore
Brown University, Providence, Rhode Island, USA
Series: Chapman & Hall/CRC Financial Mathematics
Series: Chapman & Hall/CRC Financial Mathematics
This 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. The book starts with the basics of finance and stochastic calculus and builds up to special topics, such as options, derivatives, and credit default and jump processes. Many real examples illustrate the topics and classroom-tested exercises are included in each chapter. A solutions manual and figure slides are available upon qualifying course adoption.
Developed from the author’s course on Monte Carlo simulation at Brown University, this text provides a selfcontained 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.
http://www.crcpress.com/product/isbn/9781466594029
http://www.crcpress.com/product/isbn/9781439858240
Print ISBN: 978-1-4665-9402-9 eBook ISBN: 978-1-4665-9404-3 December 2013, 6-1/8 x 9-1/4, 441 pp. Suggested Price: $83.95 / £49.99
Print ISBN: 978-1-4398-5824-0 eBook ISBN: 978-1-4398-5825-7 May 2012, 6-1/4 x 9-1/4, 292 pp. Suggested Price: $87.95 / £55.99
Quantitative Finance An Object-Oriented Approach in C++
Introductory Statistics for the Health Sciences
Erik Schlogl
Lise DeShea and Larry E. Toothaker
University of Technology, Sydney, Australia Series: Chapman & Hall/CRC Financial Mathematics
This text provides students with a foundation in the key methods and models of quantitative finance. Through an approach based on C++ classes and templates, the text highlights the basic principles common to various methods and models while the algorithmic implementation guides students to a more thorough, hands-on understanding. It also presents recipes and extensible code building blocks for some of the most widespread methods in risk management and option pricing. C++ code and other materials are available on the author’s website. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781584884798 Print ISBN: 978-1-58488-479-8 eBook ISBN: 978-1-4200-1042-8 November 2013, 6-1/8 x 9-1/4, 354 pp. Suggested Price: $83.95 / £52.99
University of Oklahoma, Oklahoma City, USA
This textbook provides students entering a health sciences program with a strong, practical foundation in statistics. Real research examples and data sets from many areas in the health sciences illustrate descriptive and inferential statistics, interval estimation, graphing, probability, and other topics. In color throughout, the book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students. Electronic flashcards for smartphones and data sets are available via a supplementary website. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781466565333 Print ISBN: 978-1-4665-6533-3 eBook ISBN: 978-1-4665-6535-7 March 2015, 6-1/8 x 9-1/4, 603 pp. Suggested Price: $99.95 / £63.99
Computational Methods in Finance
Introduction to Statistical Data Analysis for the Life Sciences
Ali Hirsa
Second Edition
Caspian Capital Management, LLC, New York, USA Series: Chapman & Hall/CRC Financial Mathematics
Helping students 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 the author’s courses at Columbia University and the Courant Institute of New York University, the book also covers model calibration and optimization and describes techniques, such as Kalman and particle filters, for parameter estimation. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439829578 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
Claus Thorn Ekstrom Helle Sørensen University of Copenhagen, Denmark
Using R throughout, this popular textbook presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. Expanded with over 100 more pages, this edition includes a new chapter on nonlinear regression models and a new chapter that contains examples of complete data analyses. It also incorporates additional exercises as well as a summary of statistical formulas related to the specific designs used to teach the statistical concepts. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781482238938 Print ISBN: 978-1-4822-3893-8 eBook ISBN: 978-1-4822-3894-5 November 2014, 6-1/8 x 9-1/4, 526 pp., Soft Cover Suggested Price: $69.95 / £39.99
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Statistics for Business, Finance, & Economics / Statistics for Social Science & Psychology Statistical Methods in Biology
Modern Survey Sampling
Design and Analysis of Experiments and Regression
Arijit Chaudhuri
S.J. Welham, S.A. Gezan, S.J. Clark, and A. Mead
Starting from the preliminaries and ending with live examples, this text gives your students a thorough grounding in the technologies of survey sampling and modeling. It details what a sample can communicate about an unknowable aggregate in a real situation. Including case studies, exercises, and solutions, the book highlights special survey techniques needed to capture trustworthy data and put it to intelligent use. It then discusses the model-assisted approach and network sampling before moving on to random processes. A solutions manual and figure slides are available upon qualifying course adoption.
Written in simple language with relevant examples, this introductory book presents best practices in experimental design and simple data analysis. It only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. 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. A solutions manual and figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439808788 Print ISBN: 978-1-4398-0878-8 eBook ISBN: 978-1-4398-0881-8 August 2014, 7 x 10, 608 pp. Suggested Price: $79.95 / £49.99
Indian Statistical Institute, Kolkata
http://www.crcpress.com/product/isbn/9781466572607 Print ISBN: 978-1-4665-7260-7 eBook ISBN: 978-1-4822-5002-2 June 2014, 6-1/8 x 9-1/4, 280 pp. Suggested Price: $99.95 / £63.99
Foundational and Applied Statistics for Biologists Using R
Nonparametric Statistics for Social and Behavioral Sciences
Ken A. Aho
M. Kraska-Miller
Idaho State University, Pocatello, USA
Auburn University, Alabama, USA
Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts. R code and other materials are available online. Figure slides are available upon qualifying course adoption.
Incorporating a hands-on pedagogical approach, this text presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM’s SPSS software. The text is the one of the first nonparametric books written specifically for students in the behavioral and social sciences. With examples of real-life research problems, it emphasizes sound research designs, appropriate statistical analyses, and accurate interpretations of results. A solutions manual and figure slides are available upon qualifying course adoption.
http://www.crcpress.com/product/isbn/9781439873380
http://www.crcpress.com/product/isbn/9781466507609
Print ISBN: 978-1-4398-7338-0 eBook ISBN: 978-1-4822-2212-8 December 2013, 7 x 10, 618 pp. Suggested Price: $69.95 / £44.99
Print ISBN: 978-1-4665-0760-9 eBook ISBN: 978-1-4822-2262-3 December 2013, 6-1/8 x 9-1/4, 260 pp. Suggested Price: $89.95 / £57.99
Bayesian Methods A Social and Behavioral Sciences Approach, Third Edition Jeff Gill Washington University, St. Louis, Missouri, USA Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
The third edition of this bestseller focuses more on implementation details of the procedures and less on justifying procedures. It includes new chapters on Bayesian decision theory and the practical implementation of MCMC methods using the BUGS software. It also expands the chapter on hierarchical models, presents many new applications from a variety of social science disciplines, and doubles the number of exercises. The author’s website provides new datasets, code, and procedures for calling BUGS packages from R. Figure slides are available upon qualifying course adoption. http://www.crcpress.com/product/isbn/9781439862483 Print ISBN: 978-1-4398-6248-3 eBook ISBN: 978-1-4987-2367-1 December 2014, 7 x 10, 724 pp. Suggested Price: $75.95 / £48.99
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Prepare Your Students for Advanced Research in Modern Statistics
• Illustrates statistical modeling and inference concepts using numerous examples • Includes end-of-chapter problems that reinforce elementary concepts and introduce important new topics • Requires no prior understanding of measure theory
See p.3 for more details.
Show Your Students How to Solve Real-World Problems Using Statistics
• Balances theory and engineering applications of probability and statistics • Presents fundamental statistical concepts and tools • Includes real data sets from problems in engineering and the physical sciences
See p.8 for more details.