Teach with the books you trust.速
Request your complimentary inspection copy today!
New & Essential
Statistics Textbooks
WWW.
CRCTEXTBOOKS.COM
Table of Contents Introductory Statistics ...............................................3 Statistical Theory & Methods....................................3 Computational Statistics............................................7 Biostatistics & Epidemiology......................................8 Statistics for Engineering & Physical Science..............9 Statistics for Business, Finance & Economics............11 Statistics for Biological Sciences...............................12 Statistics for Social Science & Psychology................13 Page 3
Page 4
Page 5
Page 11
Page 12
Page 12
For more information and complete tables of contents or to request your complimentary inspection copy visit
www.crctextbooks.com 1-800-634-7064 • 1-859-727-5000 +44 (0) 1235 400 524 orders@crcpress.com
Introductory Statistics / Statistical Theory & Methods Using R for Introductory Statistics Second Edition
Introduction to Probability with Texas Hold’em Examples
John Verzani
Frederic Paik Schoenberg
CUNY/College of Staten Island, New York, USA Series: Chapman & Hall/CRC The R Series
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. 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
University of California, Los Angeles, USA
This book illustrates both standard and advanced probability topics using Texas Hold’em, rather than the typical balls in urns. It covers basic probability rules, standard models for describing collections of data, and the laws of large numbers as well as more advanced topics, such as the arcsine law and random walks. The author includes examples of actual hands of Texas Hold’em from the World Series of Poker and other major tournaments. A dedicated R package that simulates hands and tournaments is freely available from CRAN. A solutions manual and figure slides are available upon qualifying course adoption. Print ISBN: 978-1-4398-2768-0 eBook ISBN: 978-1-4398-8879-7 December 2011, 6-1/8 x 9-1/4, 199 pp., Soft Cover Suggested Price: $54.95 / £34.99
Essentials of Multivariate Data Analysis
Analysis of Categorical Data with R
Neil H. Spencer
Christopher R. Bilder
University of Hertfordshire Business School, de Havilland Campus, Hatfield, UK
University of Nebraska–Lincoln, USA
Accessible to students without a substantial background in statistics or mathematics, this text explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods, this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. It uses an easily understood dataset to help explain the techniques and an Excel add-in to enable basic analyses, with both available on the book’s CRC Press web page. Figure slides are available upon qualifying course adoption.
Simon Fraser University, Surrey, British Columbia, Canada
Print ISBN: 978-1-4665-8478-5 eBook ISBN: 978-1-4665-8480-8 December 2013, 5-1/2 x 8-1/2, 186 pp., Soft Cover Suggested Price: $62.95 / £35.99
Thomas M. Loughin 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. 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
The R Student Companion
Mathematical Statistics
Brian Dennis
Basic Ideas and Selected Topics, Volume I, Second Edition
University of Idaho, Moscow, USA
This student-oriented manual describes how to use R in college science and mathematics courses. The manual features fully developed exercises based around the main precalculus analysis skills needed in the standard college general education courses in science and math. The exercises illustrate a wide variety of applications and subjects. The author includes the most often used features of R on a reference card in the back of the book. In addition, each chapter provides exercises in R calculations that are designed to be performed alone or in groups. Print ISBN: 978-1-4398-7540-7 eBook ISBN: 978-1-4398-7541-4 September 2012, 6-1/4 x 9-1/4, 360 pp., Soft Cover Suggested Price: $43.95 / £27.99
Peter J. Bickel University of California, Berkeley, USA
Kjell A. Doksum University of Wisconsin–Madison, USA Series: Chapman & Hall/CRC Texts in Statistical Science
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. Print ISBN: 978-1-4987-2380-0 February 2015, 7 x 10, 578 pp., Pack - Book and Ebook Suggested Price: $99.95 / £63.99
For more information and complete contents, visit www.crctextbooks.com
3
Statistical Theory & Methods Introduction to Probability Joseph K. Blitzstein Harvard University, Cambridge, Massachusetts, USA
Jessica Hwang Stanford University, California, USA Series: Chapman & Hall/CRC Texts in Statistical Science
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. 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
Data Science in R A Case Studies Approach to Computational Reasoning and Problem Solving Edited by
Introduction to Multivariate Analysis Linear and Nonlinear Modeling Sadanori Konishi 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 facilitate a deep understanding of the multivariate analysis techniques. Figure slides are available upon qualifying course adoption. 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
Nonparametric Statistical Methods Using R John Kloke University of Pittsburgh, Pennsylvania, USA
Joseph W. McKean Western Michigan University, Kalamazoo, USA
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: 978-1-4822-3481-7 March 2015, 7 x 10, 554 pp., Soft Cover Suggested Price: $79.95 / £49.99
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. 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
Linear Models with R
Statistical Inference
Second Edition
An Integrated Approach, Second Edition
Julian J. Faraway
Helio S. Migon and Dani Gamerman
University of Bath, UK
Universidade Federal do Rio de Janeiro, Brazil
Series: Chapman & Hall/CRC Texts in Statistical Science
Francisco Louzada
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. 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
4
Universidade Federal de São Carlos, Brazil Series: Chapman & Hall/CRC Texts in Statistical Science
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. 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
1-800-634-7064 • 1-859-727-5000 • +44 (0) 1235 400 524 • orders@crcpress.com
Statistical Theory & Methods Bayesian Data Analysis Third Edition
An Introduction to Generalized Linear Models
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin
Third Edition
Series: Chapman & Hall/CRC Texts in Statistical Science
University of Queensland, Herston, Australia
Now in its third edition, this classic book continues to take an applied approach to analysis using 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. 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
Annette J. Dobson Adrian G. Barnett Queensland University of Technology, Kelvin Grove, Australia Series: Chapman & Hall/CRC Texts in Statistical Science
Updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis, this new edition of a bestseller continues to provide a cohesive framework for statistical modeling. Emphasizing numerical and graphical methods, it enables students to understand the unifying structure that underpins GLMs. The text discusses common concepts and principles of advanced GLMs. It contains numerous examples from business, medicine, engineering, and the social sciences and offers the data sets and solutions to the exercises online. Print ISBN: 978-1-58488-950-2 eBook ISBN: 978-1-4398-8919-0 May 2008, 6-1/8 x 9-1/4, 320 pp., Soft Cover Suggested Price: $74.95 / £46.99
Stochastic Modeling and Mathematical Statistics
Linear Algebra and Matrix Analysis for Statistics
A Text for Statisticians and Quantitative Scientists
Sudipto Banerjee
Francisco J. Samaniego
University of Minnesota, School of Public Health, Minneapolis, USA
Anindya Roy University of Maryland Baltimore County, USA
University of California, Davis, USA Series: Chapman & Hall/CRC Texts in Statistical Science
This book is designed for a two-quarter or two-semester post-calculus introduction to probability and mathematical statistics for advanced undergraduate students and graduate students in the quantitative sciences, such as agriculture, computer science, economics, engineering, and epidemiology. The book is suitable for two audiences: (1) majors and minors in mathematics and statistics and (2) 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. 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
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. 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
Generalized Linear Mixed Models
Bayesian Ideas and Data Analysis
Modern Concepts, Methods and Applications
An Introduction for Scientists and Statisticians
Walter W. Stroup
Ronald Christensen, Wesley Johnson, Adam Branscum, and Timothy E. Hanson
University of Nebraska–Lincoln, USA Series: Chapman & Hall/CRC Texts in Statistical Science
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.
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 authors cover a large number of statistical models, explore numerical approximations via MCMC simulation, and include numerous exercises and real-world examples. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. Figure slides are available upon qualifying course adoption.
®
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
Print ISBN: 978-1-4398-0354-7 eBook ISBN: 978-1-4398-0355-4 July 2010, 6-3/4 x 9-3/4, 516 pp. Suggested Price: $75.95 / £51.99
For more information and complete contents, visit www.crctextbooks.com
5
Statistical Theory & Methods Understanding Advanced Statistical Methods
Nonparametric Statistical Inference
Peter H. Westfall
Fifth Edition
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 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. 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
Practical Multivariate Analysis
Jean Dickinson Gibbons and Subhabrata Chakraborti University of Alabama, Tuscaloosa, USA
Since its first publication in 1971, this bestselling book has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. Covering the most commonly used nonparametric procedures, the authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. The text also contains many tables needed for finding P values and obtaining confidence interval estimates of parameters. Print ISBN: 978-1-4200-7761-2 eBook ISBN: 978-1-4200-7762-9 July 2010, 6-1/4 x 9-1/4, 650 pp. Suggested Price: $109.95 / £69.99
Fifth Edition
Richly Parameterized Linear Models
Abdelmonem Afifi, Susanne May, and Virginia A. Clark
Additive, Time Series, and Spatial Models Using Random Effects
Series: Chapman & Hall/CRC Texts in Statistical Science
This renamed, new edition shows students how to perform multivariate statistical analyses and understand the results. For each of the techniques presented, the authors use recent software versions, including R, and discuss modern ways of performing the analysis. Along with more problems and data sets, this fifth edition includes a new chapter on regression of correlated outcomes. Data sets and code are available for download online. A solutions manual and figure slides are available upon qualifying course adoption. Print ISBN: 978-1-4398-1680-6 eBook ISBN: 978-1-4398-9202-2 July 2011, 6-1/8 x 9-1/4, 537 pp. Suggested Price: $99.95 / £49.99
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. 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
Statistical Methods for Handling Incomplete Data
Applied Categorical and Count Data Analysis
Jae Kwang Kim and Jun Shao
Wan Tang, Hua He, and Xin M. Tu
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. 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
6
University of Rochester, New York, USA Series: Chapman & Hall/CRC Texts in Statistical Science
This self-contained text explains how to perform the statistical analysis of discrete data. It covers classic concepts and popular topics, such as contingency tables, logistic models, and Poisson regression models. It also discusses models for zeromodified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling students to immediately experiment with the data in the examples. Figure slides are available upon qualifying course adoption. Print ISBN: 978-1-4398-0624-1 eBook ISBN: 978-1-4398-0625-8 June 2012, 6-1/4 x 9-1/4, 384 pp. Suggested Price: $97.95 / £61.99
1-800-634-7064 • 1-859-727-5000 • +44 (0) 1235 400 524 • orders@crcpress.com
Statistical Theory & Methods / Computational Statistics Nonparametric Methods in Statistics with SAS Applications
Design and Analysis of Experiments with R
Olga Korosteleva
John Lawson
California State University, Long Beach, USA
Brigham Young University, Provo, Utah, USA
Series: Chapman & Hall/CRC Texts in Statistical Science
Series: Chapman & Hall/CRC Texts in Statistical Science
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 end-of-chapter exercises, 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.
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.
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
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
Exercises and Solutions in Statistical Theory
Probability and Statistics for Computer Scientists
Lawrence L. Kupper
Second Edition
University of North Carolina, Chapel Hill, USA
Brian H. Neelon and Sean M. O’Brien Duke University Medical Center, Durham, North Carolina, USA Series: Chapman & Hall/CRC Texts in Statistical Science
This book helps students obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this one incorporates many exercises that apply to real-world settings and provides much more thorough solutions. By mastering the theoretical statistical strategies necessary to solve the exercises, students will be prepared to successfully study even higher-level statistical theory. A solutions manual and figure slides are available upon qualifying course adoption. Print ISBN: 978-1-4665-7289-8 eBook ISBN: 978-1-4665-7291-1 June 2013, 6-1/8 x 9-1/4, 388 pp., Soft Cover Suggested Price: $62.95 / £39.99
Michael Baron The 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. 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
Statistical Theory
The BUGS Book
A Concise Introduction
A Practical Introduction to Bayesian Analysis
Felix Abramovich 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 includes illustrative examples in addition to the formal definitions, theorems, and proofs. Requiring no heavy calculus, simple questions throughout the text help students check their understanding of the material. Figure slides are available upon qualifying course adoption. 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
David Lunn, Christopher Jackson, Nicky Best, Andrew Thomas, and David Spiegelhalter Series: Chapman & Hall/CRC Texts in Statistical Science
Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples covering a wide range of applications from various disciplines. Exercises, solutions, code, and data are available on a supplementary website. Print ISBN: 978-1-58488-849-9 eBook ISBN: 978-1-58488-850-5 October 2012, 6-1/8 x 9-1/4, 399 pp., Soft Cover Suggested Price: $54.95 / £27.99
For more information and complete contents, visit www.crctextbooks.com
7
Computational Statistics / Biostatistics & Epidemiology Foundations of Statistical Algorithms
A Gentle Introduction to Stata
With References to R Packages
Alan C. Acock
Claus Weihs, Olaf Mersmann, and Uwe Ligges TU Dortmund University, Germany Series: Chapman & Hall/CRC Computer Science & Data Analysis
This comprehensive textbook emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, it touches on topics not usually covered in similar books, namely systematic verification and the scaling of many established techniques to very large databases. The book 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. 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
Revised Third Edition Oregon State University, Corvallis, USA
Updated to reflect the new features of Stata 11, this third edition continues to help new Stata users become proficient in Stata. 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. 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
Statistical Computing in C++ and R
Modelling Survival Data in Medical Research
Randall L. Eubank
Third Edition
Arizona State University, Tempe, USA
Ana Kupresanin Lawrence Livermore National Laboratory, California, USA Chapman & Hall/CRC The R Series
This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require a working knowledge of basic concepts in statistics and experience in programming, it does not require knowledge specific to C++ or R. Figure slides are available upon qualifying course adoption. Print ISBN: 978-1-4200-6650-0 eBook ISBN: 978-1-4398-9393-7 December 2011, 7 x 10, 556 pp. Suggested Price: $97.95 / £62.99
David Collett UK Transplant, Bristol Series: Chapman & Hall/CRC Texts in Statistical Science
This third edition contains new chapters on frailty models and their applications, competing risks, non-proportional hazards, and dependent censoring. It also describes techniques for modelling 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 modelling survival data. Figure slides are available upon qualifying course adoption. 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 Computing with R
Epidemiology
Maria L. Rizzo
Study Design and Data Analysis, Third Edition
Bowling Green State University, Ohio, USA Chapman & Hall/CRC The R Series
This text covers the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. An excellent tutorial on R programming techniques used in practical computational problems, it illustrates every algorithm with at least one fully implemented example coded in R. The book also offers the source code for all examples online and contains numerous exercises. A solutions manual is available upon qualifying course adoption. Print ISBN: 978-1-58488-545-0 eBook ISBN: 978-1-4200-1071-8 November 2007, 6-1/8 x 9-1/4, 416 pp. Suggested Price: $99.95 / £45.99
8
Mark Woodward 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 shows students how statistical principles and techniques can help solve epidemiological problems. Along with more exercises and examples using both Stata and SAS, this third edition includes a new chapter on risk scores and clinical decision rules, a new chapter on computer-intensive methods, and new sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines. Supporting materials are available on the book’s CRC Press web page. A solutions manual and figure slides are available upon qualifying course adoption. 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
1-800-634-7064 • 1-859-727-5000 • +44 (0) 1235 400 524 • orders@crcpress.com
Biostatistics & Epidemiology / Statistics for Engineering & Physical Science Multivariate Survival Analysis and Competing Risks
Inference Principles for Biostatisticians
Martin Crowder
Ian C. Marschner
Imperial College, University of London, UK
Series: Chapman & Hall/CRC Biostatistics
Series: Chapman & Hall/CRC Texts in Statistical Science
Suitable for graduate students in statistics and biostatistics as well as those in the medical field, epidemiology, and social sciences, this book introduces univariate survival analysis and extends it to the multivariate case. It also covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods.
This text gives graduate students with diverse backgrounds 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.
Print ISBN: 978-1-4398-7521-6 eBook ISBN: 978-1-4398-7522-3 April 2012, 6-1/4 x 9-1/4, 417 pp. Suggested Price: $109.95 / £69.99
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
Medical Biostatistics
Bayesian Networks
Third Edition
With Examples in R
Abhaya Indrayan
Marco Scutari Jean-Baptiste Denis
Chapman & Hall/CRC Biostatistics Series
This acclaimed text shows students how biostatistics is a useful tool to manage some medical uncertainties. This edition includes several new topics, expanded coverage of many other topics, and 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. Figure slides are available upon qualifying course adoption. 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
Unité de Recherche Mathématiques et Informatique Appliquées, INRA, Jouy-en-Josas, France Series: Chapman & Hall/CRC Texts in Statistical Science
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. 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
Regression Models as a Tool in Medical Research
Probability Foundations for Engineers
Werner Vach
Joel A. Nachlas
Institute of Medical Biometry and Medical Informatics, Freiburg, Germany
Virginia Polytechnic Institute and State University, Blacksburg, USA
This text presents the fundamental concepts and important aspects of regression models most commonly used in medical research, including the classical regression model for continuous outcomes, the logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The author emphasizes adequate use, correct interpretation of results, appropriate presentation of results, and avoidance of potential pitfalls. A solutions manual and figure slides are available upon qualifying course adoption.
Suitable for a first course in probability theory, this textbook begins with a summary of set theory and then introduces probability and its axioms. It covers conditional probability, independence, and approximations. An important aspect of the text is the fact that 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.
Print ISBN: 978-1-4665-1748-6 eBook ISBN: 978-1-4665-1750-9 November 2012, 6-1/8 x 9-1/4, 495 pp. Suggested Price: $97.95 / £61.99
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
For more information and complete contents, visit www.crctextbooks.com
9
Statistics for Engineering & Physical Science Introduction to Linear Optimization and Extensions with MATLAB® Roy H. Kwon University of Toronto, Ontario, 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. 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
Stationary Stochastic Processes for Scientists and Engineers Georg Lindgren, Holger Rootzen, and Maria Sandsten 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. 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
Introduction to Statistical Process Control
Risk Analysis in Engineering and Economics
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. 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
Probabilistic Models for Dynamical Systems
Bilal M. Ayyub University of Maryland, College Park, USA
This book describes the fundamental concepts, methods, and applications of risk analysis and management. Containing contemporary case studies, such as protecting hurricaneprone regions and critical infrastructure, the 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, this edition includes a wealth of new and updated end-ofchapter problems, 320+ tables and figures, over 110 diverse examples, numerous references, and a bibliography. A solutions manual is available upon qualifying course adoption. 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
Second Edition
Probability, Statistics, and Reliability for Engineers and Scientists
Haym Benaroya, Seon Mi Han, and Mark Nagurka
Third Edition
This self-contained book introduces engineering students, especially those with an interest in dynamic systems, to randomness in variables, time-dependent 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.
Bilal M. Ayyub and Richard H. McCuen
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
10
University of Maryland, College Park, USA
The third edition of this bestselling text places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This edition also features expanded discussions of the analysis of variance and a thorough treatment of Monte Carlo simulation. The authors not only 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. 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
1-800-634-7064 • 1-859-727-5000 • +44 (0) 1235 400 524 • orders@crcpress.com
Statistics for Engineering & Physical Science / Statistics for Business, Finance & Economics Risk Assessment and Decision Analysis with Bayesian Networks
Mathematical Statistics for Applied Econometrics
Norman Fenton and Martin Neil
Charles B. Moss
Queen Mary University of London, UK
University of Florida, Gainesville, USA
Bayesian networks are widely recognized as exciting and powerful technology for handling risk assessment. This book focuses on applications of Bayesian networks and practical model building using AgenaRisk, a powerful commercial software tool. The text includes real-life examples from the areas of operational risk, software risk, and reliability. Topics covered include probability tables, continuous variables, and decision-support systems. The authors introduce all the necessary probability and statistics and present the essential algorithms in an appendix.
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.
Print ISBN: 978-1-4398-0910-5 eBook ISBN: 978-1-4398-0911-2 November 2012, 7 x 10, 524 pp. Suggested Price: $87.95 / £44.99
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
Financial Mathematics
Statistics for Finance
A Comprehensive Treatment
Erik Lindström, Henrik Madsen, and Jan Nygaard Nielsen
Giuseppe Campolieti and Roman N. Makarov Wilfrid Laurier University, Waterloo, Ontario, Canada
Series: Chapman & Hall/CRC Texts in Statistical Science
Series: Chapman & Hall/CRC Financial Mathematics
Bridging the gap between theoretical books on stochastic finance and applied books on financial engineering, this text provides an introduction to statistical methods for finance. The book discusses the role that statistics and mathematics play in financial engineering. It covers the necessary mathematical and statistics background and explores security markets, interest rate models, and term structure. Many data examples illustrate the methods and problems enable the book to be used as a course text or for self-study. A solutions manual and figure slides are available upon qualifying course adoption.
This text provides a unified, self-contained account of the main theory and application of methods behind modernday 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. 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
Print ISBN: 978-1-4822-2899-1 March 2015, 6-1/8 x 9-1/4, 384 pp. Suggested Price: $89.95 / £57.99
Pricing in General Insurance
Quantitative Finance
Pietro Parodi
An Object-Oriented Approach in C++
Swiss Re, London, UK
Erik Schlogl
This book 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. Print ISBN: 978-1-4665-8144-9 October 2014, 7 x 10, 584 pp. Suggested Price: $99.95 / £59.99
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 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. 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
For more information and complete contents, visit www.crctextbooks.com
11
Statistics for Business, Finance & Economics / Statistics for Biological Sciences Stochastic Finance An Introduction with Market Examples
Stochastic Processes with Applications to Finance
Nicolas Privault
Second Edition
Nanyang Technological University, Singapore 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. 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
Computational Methods in Finance Ali Hirsa 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 for parameter estimation. Figure slides are available upon qualifying course adoption. Print ISBN: 978-1-4398-2957-8 eBook ISBN: 978-1-4398-2958-5 September 2012, 7 x 10, 444 pp. Suggested Price: $93.95 / £62.99
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. Along with many more examples, this second edition includes a new chapter on the change of measures and pricing of insurance products, a new section on the use of copulas, and two new chapters that offer more coverage of interest rate derivatives and credit derivatives. Figure slides are available upon qualifying course adoption. 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
Statistical Methods in Biology Design and Analysis of Experiments and Regression S.J. Welham, S.A. Gezan, S.J. Clark, and A. Mead This introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary. The authors analyze data in detail to 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. 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
Monte Carlo Simulation with Applications to Finance
Basic Statistics and Pharmaceutical Statistical Applications
Hui Wang
Third Edition
Brown University, Providence, Rhode Island, USA Series: Chapman & Hall/CRC Financial Mathematics
This text provides a self-contained introduction to Monte Carlo methods in financial engineering. It covers common variance reduction techniques, the cross-entropy method, and the simulation of diffusion process models. Requiring minimal background in mathematics and finance, the book includes numerous examples of option pricing, risk analysis, and sensitivity analysis as well as many hand-and-paper and MATLAB® coding exercises at the end of every chapter. Figure slides are available upon qualifying course adoption. 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
12
James E. De Muth University of Wisconsin–Madison, USA Series: Pharmacy Education
This popular text covers statistical topics most relevant to students 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. 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
1-800-634-7064 • 1-859-727-5000 • +44 (0) 1235 400 524 • orders@crcpress.com
Statistics for Biological Sciences / Statistics for Social Science & Psychology Introduction to Statistical Data Analysis for the Life Sciences Second Edition 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. This expanded edition includes a new chapter on non-linear regression models and a new chapter that contains examples of complete data analyses. It also incorporates more exercises in most chapters 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. Print ISBN: 978-1-4822-3893-8 eBook ISBN: 978-1-4822-3895-2 November 2014, 6-1/8 x 9-1/4, 526 pp., Soft Cover Suggested Price: $69.95 / £39.99
Foundational and Applied Statistics for Biologists Using R Ken A. Aho Idaho State University, Pocatello, USA
Full of biological applications, exercises, and interactive graphical examples, this text covers 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. 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
Introductory Statistics for the Health Sciences Lise DeShea and Larry E. Toothaker 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 or in a service course. Data sets and electronic flashcards for smartphones are available via a supplementary website. A solutions manual and figure slides are available upon qualifying course adoption. Print ISBN: 978-1-4665-6533-3 April 2015, 6-1/8 x 9-1/4, 594 pp. Suggested Price: $99.95 / £63.99
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 various 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. 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
Modern Survey Sampling Arijit Chaudhuri Indian Statistical Institute, Kolkata
Starting from the preliminaries and ending with examples, Modern Survey Sampling 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 speculating about random processes. A solutions manual and figure slides are available upon qualifying course adoption. 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
Generalized Linear Models for Categorical and Continuous Limited Dependent Variables Michael Smithson The Australian National University, Canberra
Edgar C. Merkle University of Missouri, Columbia, USA Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Designed for graduate students in the behavioral, social, health, and medical sciences, this text employs generalized linear models for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or continuous limited dependent variables have restricted support, whether through censorship or truncation, or by their nature. The book incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages. A solutions manual and figure slides are available upon qualifying course adoption. Print ISBN: 978-1-4665-5173-2 eBook ISBN: 978-1-4665-5176-3 September 2013, 6-1/8 x 9-1/4, 308 pp. Suggested Price: $94.95 / £59.99
For more information and complete contents, visit www.crctextbooks.com
13
Statistics for Social Science & Psychology Nonparametric Statistics for Social and Behavioral Sciences M. Kraska-Miller Auburn University, Alabama, USA
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 only current nonparametric book 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. 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
14
1-800-634-7064 • 1-859-727-5000 • +44 (0) 1235 400 524 • orders@crcpress.com