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Contents General & Introductory Statistics ........................3 Probability Theory & Applications ......................5 SPC/Reliability/Quality Control ..........................7 Page 3
Statistical Theory & Methods..............................8
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Statistical Learning & Data Mining ..................13 Computational Statistics ..................................15 Statistics for Business, Finance, & Economics ..........................................19 Biostatistics ......................................................21 Page 7
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Statistics for Psychology, Social Sciences, & Law ..................................................26 Environmental Statistics ..................................28 Statistical Genetics & Bioinformatics ................30
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www.crcpress.com
to order a review copy or to view more information and complete tables of contents for these and many other related books.
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General & Introductory Statistics EXTBOOK
EXTBOOK
New!
Applied Stochastic Modelling Second Edition Byron J.T. Morgan University of Kent, Canterbury, UK
Coming soon!
New to the Second Edition
An Introduction to Statistical Inference and Its Applications with R
• An extended discussion on Bayesian methods • A large number of new exercises • A new appendix on computational methods
Michael W. Trosset University of Indiana, Bloomington, USA
Features • Explains how and why statistical methods are used to analyze data • Employs a modern approach that focuses on the interpretation of data • Introduces several important procedures, including one- and two-sample location problems, one-way analysis of variance, and simple linear regression • Presents numerous applications along with supporting data sets throughout • Includes historical background material to supplement concepts • Provides instructions on the use of R in an appendix • Offers R code available for download online Contents Experiments. Mathematical Preliminaries. Probability. Discrete Random Variables. Continuous Random Variables. Quantifying Population Attributes. Data. Lots of Data. Inference. One-Sample Location Problems. Two-Sample Location Problems. The Analysis of Variance. Goodness-of-Fit. Association. Simple Linear Regression. Simulation-Based Inference. R: A Statistical Programming Language.
Catalog no. C6668 January 2009, 368 pp. Soft Cover, ISBN: 978-1-58488-666-2
$59.95 / £29.99
Statistical Thinking in Sports Edited by
Jim Albert Bowling Green State University, Ohio, USA
Ruud H. Koning University of Groningen, The Netherlands
“A serious effort by thoughtful statisticians in the area of sports not only contributes to the general area, but also offers a window to the world on the work of the professional statistician. … I found the volume to be very enjoyable. I would recommend it to anyone looking for an introduction to one of the subjects covered…” —Gilbert W. Fellingham, Brigham Young University, The American Statistician, November 2008
Catalog no. C9470 June 2009, c. 504 pp. ISBN: 978-1-58488-947-2
Catalog no. C8687 2008, 298 pp. ISBN: 978-1-58488-868-0
$79.95 / £48.99
$52.95 / £33.99
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General & Introductory Statistics EXTBOOK
EXTBOOK
Mathematical Statistics with Applications Asha Seth Kapadia, Wenyaw Chan, and Lemuel A. Moyé University of Texas, Houston, USA
“… It is remarkable in its coverage to modern statistical theory with the necessary rigor and its applications to practical problems. … a self-contained and unique text for imparting a balanced knowledge of statistics to students … . It will also be a fine reference text for applied scientists who require the occasional use of mathematical statistics.” —C.R. Rao, Professor Emeritus of Statistics, Pennsylvania State University, University Park, USA
Catalog no. DK2149 2005, 648 pp. ISBN: 978-0-8247-5400-6
$89.95 / £46.99
Handbook of Statistical Distributions with Applications K. Krishnamoorthy University of Louisiana, Lafayette, USA
“Quite simply, this book is a masterwork. It is an essential resource for anyone who models data or creates applications which require reference to, or make use of, statistical distribution functions or random variable sampling/generation. The accompanying PC program is a true application in its own right, neat, tidy, and very, very useful. …” —Paul Barrett, University of Auckland, New Zealand
Coming soon!
Applied Statistical Inference with Minitab® Sally Lesik Central Connecticut State University, New Britain, USA
Features • Presents a step-by-step approach to solve mathematical problems • Provides a fundamental understanding of applied statistics, which serves as a foundation for studying more advanced topics • Illustrates the techniques and methods of applied inferences using the statistical software package Minitab® • Requires only basic knowledge of statistics and intermediate knowledge of algebra • Offers reference data sets on the accompanying CD-ROM and for download online • Includes a solutions manual for qualifying instructors Contents Introduction. Graphical Displays of Data. Describing Variables. Basic Statistical Inference. Simple Linear Regression. More on Simple Linear Regression. Multiple Regression Analysis. More on Multiple Regression. One-Way Analysis of Variance. Other Topics. Catalog no. C6583 August 2009, c. 680 pp. ISBN: 978-1-4200-6583-1
$89.95 / £54.99
Catalog no. C6358 2006, 376 pp. ISBN: 978-1-58488-635-8
$83.95 / £53.99
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Probability Theory & Applications EXTBOOK
EXTBOOK
Introduction to Probability with R
Probability and Statistics with R
Kenneth Baclawski
Maria Dolores Ugarte and Ana F. Militino
Northeastern University, Boston, Massachusetts, USA
“…The author has covered each topic with an ample depth and with an appreciation of the problems faced by the modern world. The book contains a rich collection of exercises and problems … an excellent introduction to the open source software R is given in the book. …” —From the Foreword, Tianhua Niu, Brigham and Women’s Hospital, Harvard Medical School, and Harvard School of Public Health, Boston, Massachusetts, USA
Features • Uses R programs and animations throughout to convey important aspects of probability and encourage experimentation • Covers the theorems of probability along with stochastic processes and the relationships among them • Introduces transforms via randomization, a unique approach to a very important subject • Explores entropy and information to demonstrate basic stochastic processes and the most commonly occurring distributions • Offers R programs, PowerPoint slides, and related web links on a supplementary website Catalog no. C6521 2008, 384 pp. ISBN: 978-1-4200-6521-3
$89.95 / £39.99
Public University of Navarre, Pamplona, Spain
Alan Arnholt Appalachian State University, Boone, North Carolina, USA
Cohesively incorporates statistical theory with R implementation This comprehensive book presents extensive treatments of data analysis using parametric and nonparametric techniques. It effectively links statistical concepts with R procedures, enabling the application of the language to the vast world of statistics. Features • Provides real-world examples of how R can be used to solve problems in probability and statistics • Contains an overview on how to use R so that novices understand how to solve the problems • Explains the mathematics behind computational implementations • Covers both traditional methods and nonparametric techniques, including goodness-of-fit tests, categorical data analysis, nonparametric bootstrapping, and permutation tests • Uses regression analysis procedures to solve three interesting case studies based on real data • Presents thoroughly worked-out derivations, detailed graphs, and abundant problems • Offers data sets, functions, and other ancillary material on a supporting website • Includes a solutions manual for qualifying instructors Catalog no. C8911 2008, 728 pp. ISBN: 978-1-58488-891-8
$89.95 / £49.99 For more information and complete contents, visit www.crcpress.com
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Probability Theory & Applications EXTBOOK
New!
New!
Optimal Design of Queueing Systems
Introduction to Probability and Statistics for Science, Engineering, and Finance
Shaler Stidham Jr. University of North Carolina, Chapel Hill, USA
This book explores how to set the parameters of a queueing system, such as arrival and service rates, before putting it into operation. It presents various optimality criteria, including individual, social, class, and facility optimal solutions. Focusing on networks of queues, the final chapters emphasize the qualitative properties of optimal solutions. Catalog no. C0335 March 2009, c. 384 pp. ISBN: 978-1-58488-076-9
$89.95 / £54.99
Walter A. Rosenkrantz University of Massachusetts, Amherst, USA
This introduction illustrates the role and scope of statistics and probability in various fields. It presents many application examples from engineering, computer performance analysis, public health, and finance. The text provides technical details for the derivation of various theorems, contains over 650 exercises, and includes a CD-ROM with all of the data sets used in the book. Catalog no. C8121 January 2009, 680 pp. ISBN: 978-1-58488-812-3
$89.95 / £52.99
New edition!
Polya Urn Models
Introduction to Stochastic Processes
Hosam M. Mahmoud
Second Edition
George Washington University, Washington, DC, USA
This book deals with discrete probability through the modern and evolving urn theory and its numerous applications. It looks at how some classical problems of discrete probability have roots in urn models and presents applications to random trees, evolution, competitive exclusion, epidemiology, clinical trials, and random circuits. The text includes a range of end-of-chapter exercises, along with solutions in the back of the book. Catalog no. C5983 2008, 312 pp. ISBN: 978-1-4200-5983-0
$79.95 / £49.99
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Gregory F. Lawler University of Chicago, Illinois, USA
Emphasizing mathematical ideas rather than proofs, this second edition features additional material on stochastic integration into modern mathematical finance. It includes an expanded discussion of Girsanov transformation, an introduction to the Feynman–Kac formula, and an exposition on the Black–Scholes formula with applications from the field of mathematical finance. Catalog no. C651X 2006, 248 pp. ISBN: 978-1-58488-651-8
$74.95 / £47.99
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SPC/Reliability/Quality Control New!
Acceptance Sampling in Quality Control Second Edition Edward G. Schilling
New!
The Weibull Distribution A Handbook
Rochester Institute of Technology, New York, USA
Horst Rinne
Dean V. Neubauer
Compiling findings from dozens of scientific journals and hundreds of research papers, this handbook focuses on the origin, statistical properties, and related distributions of the Weibull distribution. It also presents various approaches to estimate the parameters of this distribution under all possible situations of sampling data as well as approaches to parameter and goodness-of-fit testing.
Corning Incorporated, Horseheads, New York, USA
This comprehensive book encompasses the most widely used acceptance sampling techniques. This second edition includes coverage of ISO 2859 and 3951 standards and the ASTM version (E2234) of MIL-STD-105E, along with a new section on credit-based sampling plans. It also stresses the role of sampling schemes with switching rules and extensively discusses accept zero plans. Catalog no. C9527 March 2009, 700 pp. ISBN: 978-1-58488-952-6
$119.95 / £72.99
New!
Analytical Methods for Risk Management A Systems Engineering Perspective Paul R. Garvey
University of Giessen, Germany
Catalog no. C7436 January 2009, 808 pp. ISBN: 978-1-4200-8743-7
$99.95 / £63.99
Mathematical Models for Systems Reliability Benjamin Epstein and Ishay Weissman William Davidson Faculty of Industrial Engineering and Management, Israel Institute of Technology, Haifa
Using numerous examples to illustrate realworld engineering system projects, this book presents the foundation processes and analytical practices for managing risk in the engineering of systems. It describes a supplier–provider framework to model and measure risk in engineering enterprise systems and summarizes success factors for managing risk in the engineering of systems.
Evolved from the lectures of a recognized pioneer in developing the theory of reliability, this text covers the required probability background for understanding reliability theory. It shows how certain techniques can be applied to a range of reliability problems. The book explores statistical estimation theory, measures of system effectiveness, general continuous-time Markov chains, and more. A solutions manual is available for qualifying instructors.
Catalog no. C6374 January 2009, 288 pp. ISBN: 978-1-58488-637-2
Catalog no. C0822 2008, 272 pp. ISBN: 978-1-4200-8082-7
The MITRE Corporation, Bedford, Massachusetts, USA
$99.95 / £63.99
$79.95 / £49.99
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Statistical Theory & Methods EXTBOOK
New edition!
New!
Bayesian Methods for Data Analysis
Longitudinal Data Analysis
Third Edition
Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, and Geert Molenberghs
Bradley P. Carlin University of Minnesota, Minneapolis, USA
Thomas A. Louis Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Praise for the Previous Editions “… an important and timely addition to applied statistics … the writing is excellent … the reader reaps the benefits of being in the hands of a true master …” —Journal of American Statistical Association
New to the Third Edition • New data examples, corresponding R and WinBUGS code, and homework problems • Explicit descriptions and illustrations of hierarchical modeling—now commonplace in Bayesian data analysis • A new chapter on Bayesian design that emphasizes Bayesian clinical trials • A completely revised and expanded section on ranking and histogram estimation • A new case study on infectious disease modeling and the 1918 flu epidemic Catalog no. C6978 2008, 552 pp. ISBN: 978-1-58488-697-6
$69.95 / £44.99
Edited by
“Other longitudinal data books do not have the breadth of this one. … I highly recommend this book to anyone interested in learning about modern methods for longitudinal data analysis. …” —Journal of Biopharmaceutical Statistics, 2009
Features • Provides a clear, comprehensive, and unified overview of recent developments in statistical methods for the analysis of longitudinal data • Addresses the challenges that arise in analyzing longitudinal data, such as complex random-error structures, stochastic time-varying covariates, missing data, and attrition • Presents contributions from some of the most prominent researchers in the field • Includes an introductory chapter in each section to set the stage for subsequent chapters • Highlights connections between various research threads in the statistical literature • Contains numerous examples and case studies drawn from a range of disciplines, including medical research, epidemiology, and the social sciences • Offers data sets, software programs, and other material on the editors’ website Catalog no. C6587 January 2009, 632 pp. ISBN: 978-1-58488-658-7
$89.95 / £57.99
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Statistical Theory & Methods
New!
New!
ROC Curves for Continuous Data
Hidden Markov Models for Time Series
Wojtek J. Krzanowski
An Introduction Using R
University of Exeter and Imperial College, London, UK
Walter Zucchini
David J. Hand
University of Gottingen, Germany
Imperial College, London, UK
Iain L. MacDonald
Get the best results using ROC curves
University of Cape Town, South Africa
This is the first book solely devoted to the subject, bringing together all the relevant material to provide a clear understanding of how to analyze ROC curves. It covers the fundamental theory as well as various special topics, such as the combination of multiple ROC curves and the design of ROC studies. Features • Describes the major methodological developments and provides many illustrative examples • Includes appropriate mathematical theory without making the treatment too dense • Surveys the uses made of the methodology across a range of areas, from atmospheric science and geoscience to experimental psychology and sociology • Lists a number of websites from which software implementing the various techniques can be downloaded Catalog no. K10031 May 2009, c. 232 pp. ISBN: 978-1-4398-0021-8
$69.95 / £42.99
Effectively interpret data using HMMs This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It provides a broad understanding of the models and their uses. Features • Presents an accessible overview of HMMs for analyzing time series data • Covers continuous-valued, circular, and multivariate time series data • Explores a variety of applications in animal behavior, finance, epidemiology, climatology, and sociology • Shows how to apply R to carry out computations for parameter estimation, model selection and checking, decoding, and forecasting • Includes numerous theoretical and programming exercises at the end of most chapters • Provides all of the data sets analyzed in the text online Catalog no. C5734 April 2009, c. 288 pp. ISBN: 978-1-58488-573-3
$79.95 / £48.99
For more information and complete contents, visit www.crcpress.com
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Statistical Theory & Methods New!
Regression Modeling Methods, Theory, and Computation with SAS
Meta-Analysis of Binary Data Using Profile Likelihood Dankmar Bohning University of Reading, UK
Michael Panik
Ronny Kuhnert
University of Hartford, Connecticut, USA
Robert-Koch Institute, Berlin, Germany
This text provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs. He explores the well-known methods of OLS and maximum likelihood regression before developing many alternative regression techniques.
Sasivimol Rattanasiri
Catalog no. C1972 April 2009, c. 814 pp. ISBN: 978-1-4200-9197-7
$99.95 / £60.99
Mahidol University, Bangkok, Thailand
Illustrating the use of meta-analysis in many real-world trial examples, this work focuses on the analysis and modeling of a metaanalysis with individually pooled data (MAIPD). It explores alternatives to the profile likelihood method, explains how to test for and determine the amount of heterogeneity in an MAIPD, and offers the software program CAMAP for free online. Catalog no. C6307 2008, 208 pp. ISBN: 978-1-58488-630-3
$79.95 / £49.99
EXTBOOK
New!
New!
Logistic Regression Models
Analysis of Messy Data Volume 1
Joseph M. Hilbe
Designed Experiments, Second Edition
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, and Arizona State University, Tempe, USA
This text presents an overview of the full range of logistic models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental/ecological, physical, and social science data. Stata is used to develop, evaluate, and display most models while R code is given at the end of most chapters. A solutions manual is available for qualifying instructors.
George A. Milliken and Dallas E. Johnson Kansas State University, Manhattan, USA
Helping readers effectively analyze real-world, nonstandard data sets, this edition includes several modern suggestions for multiple comparison procedures as well as additional examples of split-plot designs and repeated measures designs. It also uses SAS-GLM to analyze an effects model and SAS-MIXED and JMP to analyze data in random effects, mixed model, and repeated measures experiments.
Catalog no. C7575 May 2009, c. 656 pp. ISBN: 978-1-4200-7575-5
Catalog no. C3340 March 2009, 674 pp. ISBN: 978-1-58488-334-0
$79.95 / £48.99
$89.95 / £54.99
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Statistical Theory & Methods New!
New!
Confidence Intervals in Generalized Regression Models
Sequential Methods and Their Applications
Esa Uusipaikka
RMIT University, Melbourne, Australia
University of Turku, Finland
Offering software to help with statistical analyses, this book introduces a unified representation of various types of regression models. Catalog no. C6027, January 2009, 328 pp., ISBN: 978-1-4200-6027-0, $89.95 / £57.99 EXTBOOK
Nitis Mukhopadhyay University of Connecticut, Storrs, USA
Basil M. de Silva
Through this book and its computer programs, readers will better understand the methods of sequential analysis and be able to use them in real-world settings. Catalog no. C0356, January 2009, 504 pp., ISBN: 978-1-58488-102-5, $89.95 / £57.99 EXTBOOK
New edition!
New!
An Introduction to Generalized Linear Models
Design and Analysis of Experiments
Third Edition Annette J. Dobson University of Queensland, Herston, Australia
Adrian G. Barnett Queensland University of Technology, Kelvin Grove, Australia
“This book promises in its introductory section to provide a unifying framework for many statistical techniques. It accomplishes this goal easily. …” —Journal of Biopharmaceutical Statistics, 2009
Catalog no. C9500, 2008, 320 pp., Soft Cover, ISBN: 978-1-58488-950-2, $59.95 / £38.99
Classical and Regression Approaches with SAS Leonard C. Onyiah St. Cloud State University, Minnesota, USA
Using both manual methods and SAS programs to carry out analyses, this text provides examples to illustrate numerous designs and includes the full SAS code and outputs. Catalog no. C6054, January 2009, 856 pp., ISBN: 978-1-4200-6054-6, $99.95 / £63.99 EXTBOOK
EXTBOOK
A Primer on Linear Models John F. Monahan North Carolina State University, Raleigh, USA
“… I found the book very helpful. … This is a useful, well-written instructive book.” —International Statistical Review, 2008
Catalog no. C6201, 2008, 304 pp., Soft Cover, ISBN: 978-1-4200-6201-4, $49.95 / £27.99
Time Series Analysis Henrik Madsen Technical University of Denmark, Lyngby
With real-world examples from economics, physics, and engineering, this text explores static and dynamic models to illustrate the differences between model types and examines various significant topics. Catalog no. C5967, 2008, 400 pp. ISBN: 978-1-4200-5967-0, $83.95 / £53.99
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Statistical Theory & Methods Observed Confidence Levels Theory and Application Alan M. Polansky
New edition!
Randomization, Bootstrap and Monte Carlo Methods in Biology
This book compares the use of observed confidence levels with other statistical methodologies and contains practical examples from engineering, biology, and medicine. A companion website includes data sets and R code.
Third Edition
Catalog no. C8024, 2008, c. 288 pp. ISBN: 978-1-58488-802-4, $83.95 / £53.99
Catalog no. C5416, 2007, 480 pp. ISBN: 978-1-58488-541-2, $83.95 / £53.99
New edition!
Bryan F.J. Manly This third edition reveals developments in methodology, computing, and applications and features extensively revised chapters on bootstrap and Monte Carlo methods that incorporate many novel applications.
EXTBOOK
Handbook of Parametric and Nonparametric Statistical Procedures
New edition!
Fourth Edition
Robin H. McCleery, Trudy A. Watt, and Tom Hart “With its non-technical approach and practical advice, this accessible-to-students introductory text lays the foundation for more advanced study of statistical analysis and biometry. … ”
David J. Sheskin With more than 500 pages of new material, this fourth edition explores more than 160 statistical procedures as well as both theoretical and practical statistical topics. Catalog no. C8148, 2007, 1776 pp. ISBN: 978-1-58488-814-7, $144.95 / £92.00 EXTBOOK
Introduction to Statistics for Biology Third Edition
—Journal of the Royal Statistical Society
Catalog no. C6528, 2007, 296 pp. ISBN: 978-1-58488-652-5, $62.95 / £29.99
New edition!
New edition!
Applied Nonparametric Statistical Methods
Markov Chain Monte Carlo
Fourth Edition Peter Sprent and Nigel C. Smeeton Offering the student edition of StatXact at a discounted price, this accessible fourth edition reflects the latest developments in computerintensive methods that deal with intractable analytical problems and unwieldy data sets. Catalog no. C701X, 2007, 544 pp. ISBN: 978-1-58488-701-0, $83.95 / £39.99
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Stochastic Simulation for Bayesian Inference, Second Edition Dani Gamerman and Hedibert F. Lopes “The second edition of this book is well written and builds on the first edition … The addition of an associated website is a valuable resource that contains many R scripts …” —Gareth Peters, University of New South Wales, Statistics in Medicine, 2008
Catalog no. C5874, 2006, 344 pp. ISBN: 978-1-58488-587-0, $73.95 / £46.99
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Statistical Learning & Data Mining EXTBOOK
New!
Machine Learning An Algorithmic Perspective Stephen Marsland Massey University, Palmerston North, New Zealand
This text covers such fundamental topics as neuronal modeling, perceptron, multi-layer perceptron, classification, regression, decision trees, the naïve Bayes’ classifier, unsupervised learning, the self-organizing map, and genetic algorithms. It provides standard questions that test understanding, structured programming exercises using code and data from the Internet, and suggested further investigations. Catalog no. C6718 April 2009, c. 406 pp. ISBN: 978-1-4200-6718-7
$69.95 / £42.99
New!
Constrained Clustering
New!
Next Generation of Data Mining Edited by
Hillol Kargupta, Jiawei Han, Philip S. Yu Rajeev Motwani, and Vipin Kumar Focusing on the future of data mining, this volume addresses a variety of emerging data mining challenges and potential solutions. With contributions from many well-respected researchers and practitioners in the community, it shows how innovative data mining tools and techniques can be applied in a range of areas, including e-science, engineering, social science, ecology, finance, and medicine. Catalog no. C5867 January 2009, 601 pp. ISBN: 978-1-4200-8586-0
$89.95 / £57.99
Advances in Algorithms, Theory, and Applications
Computational Methods of Feature Selection
Edited by
Edited by
Sugato Basu
Huan Liu
Google, Inc. Mountain View, California, USA
Ian Davidson University of California, Davis, USA
Kiri Wagstaff Jet Propulsion Laboratory, Pasadena, California, USA
“… this book shows how constrained clustering can be used to tackle large problems involving textual, relational, and even video data. After reading this book, you will have the tools to be a better analyst [and] to gain more insight from your data, whether it be textual, audio, video, relational, genomic, or anything else.” —From the Foreword, Dr. Peter Norvig, Director of Research, Google, Inc., Mountain View, California, USA
Catalog no. C9969 January 2009, 472 pp. ISBN: 978-1-58488-996-0
Arizona State University, Tempe, USA
Hiroshi Motoda AFOSR/AOARD, Tokyo, Japan
This volume introduces the basic concepts and principles, state-of-the-art algorithms, and inventive applications of feature selection. It chronicles the novel developments of feature selection that have emerged in recent years, such as Relief, and contains real-world case studies from various areas, including text classification, web mining, and bioinformatics. Catalog no. C8784 2008, 440 pp. ISBN: 978-1-58488-878-9
$93.95 / £59.99
$79.95 / £49.99 For more information and complete contents, visit www.crcpress.com
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Statistical Learning & Data Mining Coming soon!
Text Mining Classification, Clustering, and Applications Edited by
Ashok Srivastava Ames Research Center, Moffett Field, California, USA
Mehran Sahami Stanford University, California, USA
This book covers text mining, information retrieval, latent semantic analysis, pagerank, latent Dirichlet allocation, probabilistic relational models, web-based information, system and safety issues, spam filtering, information extraction, link mining, question answering, determining trends, and news reports. It also examines how text mining techniques can be used to map information through visualizing databases. Catalog no. C5940 June 2009, c. 328 pp. ISBN: 978-1-4200-5940-3
Artificial Intelligence with Uncertainty Deyi Li Tsinghua University, Beijing, People’s Republic of China
Yi Du Network Management Center, Beijing, People’s Republic of China
Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. It describes the cloud model and other physical methods for data mining, discusses reasoning and control with uncertain knowledge, and presents a cognitive physics model. Catalog no. C9985 2008, 376 pp. ISBN: 978-1-58488-998-4
$93.95 / £59.99
$79.95 / £48.99
New!
The Top Ten Algorithms in Data Mining Edited by
Xindong Wu University of Vermont, Burlington, USA
Vipin Kumar University of Minnesota, Minneapolis, USA
Identifying some of the most influential algorithms that are widely used in the data mining community, this volume provides a description of each algorithm, discusses the impact of the algorithms, and reviews current and future research on the algorithms. Each chapter is written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm. Catalog no. C9641 April 2009, c. 208 pp. ISBN: 978-1-4200-8964-6
Understanding Complex Datasets Data Mining with Matrix Decompositions David Skillicorn Queen’s University, Kingston, Ontario, Canada
“This could be a nice companion book for courses in data mining or applied linear algebra. … Those working with large-scale complex data sets will definitely find this work useful. … I would definitely use it in my own course in data mining.” —Michael W. Berry, University of Tennessee, Knoxville, USA
Catalog no. C8326 2007, 260 pp. ISBN: 978-1-58488-832-1
$73.95 / £46.99
$79.95 / £48.99
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Computational Statistics EXTBOOK
New!
New!
Introduction to Scientific Programming and Simulation Using R
Computational Statistics
Owen Jones, Robert Maillardet, and Andrew Robinson University of Melbourne, Parkville, Australia
Turn algorithms into code This book surveys a range of useful mathematical tools that either require or are illuminated by scientific computation. It covers input and output, functions, data structures, flow programming, numerical techniques, probability, simulation, and stochastic modeling. Features • Examines R as the medium for scientific computation • Introduces simple yet useful mathematical tools in the context of stochastic modeling • Provides a clear exposition of scientific programming within R • Includes examples that allow readers to see how the tools can be applied to contemporary problems • Contains simulation exercises to refine intuition about variability, randomness, and inference under certainty • Offers access to an accompanying website containing programming code and answers to selected exercises Catalog no. C6872 March 2009, c. 472 pp. ISBN: 978-1-4200-6872-6
An Introduction to R Günther Sawitzki StatLab, Heidelberg, Germany
Become familiar with R This introduction illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing. Features • Focuses on the underlying concepts of statistics • Covers distribution diagnostics, Monte Carlo tests, analysis of variance, general linear models, distribution-free tests, and dimension reduction • Includes numerous exercises and realworld examples from biology, medicine, and more • Provides an appendix that describes elements of R by topic • Offers the full R source code for all examples, selected solutions, and other ancillary material on <http://sintro.r-forge.r-project.org/> Catalog no. C6782 January 2009, 264 pp. ISBN: 978-1-4200-8678-2
$79.95 / £48.99
$79.95 / £48.99
For more information and complete contents, visit www.crcpress.com
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Computational Statistics EXTBOOK
New edition!
New!
Computational Statistics Handbook with MATLAB®
Interactive Graphics for Data Analysis
Second Edition
Principles and Examples
Wendy L. Martinez
Martin Theus
Department of Defense, Fredericksburg, Virginia, USA
Munich, Germany
Angel R. Martinez
Simon Urbanek
Strayer University, Fredericksburg, Virginia, USA
Madison, New Jersey, USA
“ … a valuable reference to practicing statisticians (or statistical researchers) using MATLAB as their computing engines.” —Biometrics, March 2009
New to the Second Edition • New functions for multivariate normal and multivariate t distributions • Updated information on the new MATLAB® functionality for univariate and bivariate histograms, glyphs, and parallel coordinate plots • New content on independent component analysis, nonlinear dimensionality reduction, and multidimensional scaling • New topics on linear classifiers, quadratic classifiers, and voting methods, such as bagging, boosting, and random forests • More methods for unsupervised learning, including model-based clustering and techniques for assessing the results of clustering • A new chapter on parametric models that covers spline regression models, logistic regression, and generalized linear models • Expanded information on smoothers, such as bin smoothing, running mean and line smoothers, and smoothing splines
Powerful tools for EDA This full-color text shows that interactive graphical methods complement the traditional statistical toolbox to achieve more complete, easier to understand, and easier to interpret analyses. Features • Presents the fundamental principles of graphical data analysis • Includes detailed case studies that explain how the principles can be applied to the analysis of real-world data sets, such as data on the city of Augsburg, the Titanic, olive oil, and the Tour de France • Employs Mondrian software throughout to generate plots and provides some screenshots to illustrate certain techniques • Uses R code to quantify results precisely, test statistical hypotheses, and rearrange data in a nontrivial way • Provides exercises at the end of each chapter to critically review the topics discussed and address additional issues • Offers course suggestions, slides, and extra code on the book’s website
Catalog no. C5661 2008, 792 pp. ISBN: 978-1-58488-566-5
Catalog no. C5947 January 2009, 290 pp. ISBN: 978-1-58488-594-8
$89.95 / £39.99
$79.95 / £39.99
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Computational Statistics New!
Coming soon!
A Handbook of Statistical Analyses using SAS
A Handbook of Statistical Analyses Using R
Third Edition
Brian S. Everitt
Brian S. Everitt
King’s College, University of London, UK
King’s College, University of London, UK
Second Edition
Torsten Hothorn
Geoff Der
Institut fur Statistik, Munich, Germany
University of Glasgow, Scotland
This edition contains new chapters on graphical displays, generalized additive models, and simultaneous inference as well as a new section on generalized linear mixed models. The authors include new examples and more exercises in several chapters, along with a new version of the HSAUR package.
This third edition of a bestseller explains how to conduct a range of statistical analyses using the latest version of SAS. It presents the new graphics procedures of SAS 9.2 and illustrates each type of analysis with numerous realworld data examples. The SAS programs and data sets used in the book are available online. Catalog no. C7842 January 2009, 392 pp., Soft Cover ISBN: 978-1-58488-784-3
Catalog no. C7933 July 2009, c. 376 pp., Soft Cover ISBN: 978-1-4200-7933-3
$54.95 / £34.99
$54.95 / £34.99
New! New!
The Workflow of Data Analysis Using Stata J. Scott Long
Introduction to Data Technologies Paul Murrell The University of Auckland, New Zealand
This book explains how a better workflow can make it easier to work with data. The author describes planning, organizing, and documenting work. He then introduces how to write and debug Stata do-files and how to use local and global macros. He also covers cleaning, analyzing, and protecting data.
Providing important information on how to work with research data, this resource connects diverse, computer-related topics through numerous, real-world case studies. It describes open source technologies and open standards and covers HTML, CSS, XML, SQL, and R. The author’s website includes a suite of exercises as well as the code and data sets used in the case studies.
Catalog no. N10091 January 2009, 379 pp. ISBN: 978-1-59718-047-4
Catalog no. C6517 February 2009, c. 418 pp. ISBN: 978-1-4200-6517-6
Stata Press, College Station, Texas, USA
$64.95 / £43.99
$69.95 / £42.99
For more information and complete contents, visit www.crcpress.com
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Computational Statistics Bestseller!
New!
R Graphics
A Gentle Introduction to Stata
Paul Murrell The University of Auckland, New Zealand
“R Graphics is exactly the sort of documentation that R needs. It is written clearly, with many examples, and will be useful for any level of R expertise from novice upwards. …” —Duncan Murdoch, University of Western Ontario, Canada
Catalog no. C486X, 2006, 328 pp. ISBN: 978-1-58488-486-6, $83.95 / £53.99
Second Edition Alan C. Acock Oregon State University, Corvallis, USA
Offering tools to learn Stata, this book provides a basic collection of statistical procedures used by social scientists. Catalog no. SZ0432, January 2009 332 pp. Soft Cover, ISBN: 978-1-59718-043-6
$79.95 / £49.99
New!
Statistical Computing with R
An Introduction to Stata Programming
Maria L. Rizzo
Christopher F. Baum
Bowling Green State University, Ohio, USA
Boston College, Massachusetts, USA
This text covers the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. Catalog no. C5459, 2008, 416 pp. ISBN: 978-1-58488-545-0, $83.95 / £39.99
New edition!
A Visual Guide to Stata Graphics Second Edition Michael N. Mitchell UCLA Academic Technology Services Consulting Group, Los Angeles, California, USA
With over 900 graph examples in color, this guide shows how to create and customize graphs for any type of statistical data using either Stata commands or the Graph Editor. Catalog no. SZ0394, 2008, 471 pp., Soft Cover ISBN: 978-1-59718-039-9, $79.95 / £49.99
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Taking readers through three levels of programming, this book focuses on do-files, ado-files, and matrix programming. Catalog no. N10106, March 2009 350 pp., Soft Cover, ISBN: 978-1-59718-045-0
$69.95 / £44.99
New!
Data Analysis Using Stata Second Edition Ulrich Kohler Social Science Research Center, Berlin
Frauke Kreuter University of Maryland, College Park, USA
Praise for the First Edition “[The authors] transform the book into an interactive experience, making it both more enjoyable and more effective as a learning tool. …” —L. Philip Schumm, The Stata Journal, 2005
Catalog no. N10072, January 2009, Soft Cover, ISBN: 978-1-59718-046-7, $29.95 / £19.99
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Statistics for Business, Finance, & Economics New!
Introduction to Spatial Econometrics James LeSage McCoy College of Business Administration, San Marcos, Texas, USA
Robert Kelley Pace Louisiana State University, Baton Rouge, USA
“The research community needs a text like this … The LeSage and Pace text will become a standard reference in the field and will find a welcome home on the shelf of every empirical researcher interested in spatial econometric techniques.” —Donald Lacombe, Ohio University, Athens, USA
Catalog no. C6424 January 2009, 340 pp. ISBN: 978-1-4200-6424-7
$89.95 / £54.99
Credit Risk Models, Derivatives, and Management Edited by
Niklas Wagner Passau University, Germany
“… the most comprehensive available volume of authoritative readings on credit risk modeling. … [it] treat[s] all major aspects of the subject, from the behavior of default probabilities, recovery, and correlation to the pricing of a wide range of single- and multi-name credit products. Every practitioner covering the topic will appreciate access to this collection.” —Darrell Duffie, Dean Witter Distinguished Professor of Finance, The Graduate School of Business, Stanford University, California, USA
Catalog no. C9942 2008, 600 pp. ISBN: 978-1-58488-994-6
$99.95 / £63.99
EXTBOOK
Understanding Risk
New!
The Theory and Practice of Financial Risk Management
Interest Rate Modeling
David Murphy
Lixin Wu
Rivast Consulting, London, UK
“David Murphy has used his extensive knowledge to provide a comprehensive guide to market, credit, and operational risk. … Stressing intuition rather than detailed mathematical analysis, he brings readers a clear insight to the current challenges facing professionals today. This up-to-date treatment of risk is a welcome change from many other texts currently available. …” —Carol Alexander, Chair of Risk Management and Director of Research, University of Reading, UK
Catalog no. C8938 2008, 472 pp., Soft Cover ISBN: 978-1-58488-893-2
$79.95 / £49.99
Theory and Practice Hong Kong University of Science and Technology
Containing many results that are new or exist only in recent research articles, this text portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation. It introduces all models with financial-economical justifications, develops options along the martingale approach, and handles option evaluations with precise numerical methods. Catalog no. C0569 April 2009, c. 353 pp. ISBN: 978-1-4200-9056-7
$79.95 / £48.99
For more information and complete contents, visit www.crcpress.com
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Statistics for Business, Finance, & Economics New!
EXTBOOK
Statistical and Probabilistic Methods in Actuarial Science Philip J. Boland University College Dublin, Ireland
“This book is aimed both at students of actuarial science and related subjects and at insurance and actuarial practitioners. … The treatment is clear throughout, with an ample supply of problems and worked examples. The book would be useful both for teachers of actuarial science and for self-study.” —N.H. Bingham, Imperial College, International Statistical Review, 2007
Catalog no. C6951 2007, 368 pp. ISBN: 978-1-58488-695-2
$83.95 / £39.99
Microeconometrics Using Stata A. Colin Cameron University of California, Davis, USA
Pravin K. Trivedi Indiana University, Bloomington, USA
This book covers topics often left out of microeconometrics textbooks and omitted from basic introductions to Stata. The authors introduce simulation methods and then use them to illustrate features of the estimators and tests. They demonstrate how to use Stata’s programming features to implement methods for which Stata does not have a specific command. Catalog no. N10070 January 2009, Soft Cover ISBN: 978-1-59718-048-1
$74.95 / £49.99 EXTBOOK
New edition!
An Introduction to Modern Econometrics Using Stata
Introduction to Stochastic Calculus Applied to Finance Second Edition
Christopher F. Baum
Damien Lamberton
Boston College, Massachusetts, USA
Université de Marne-la-Vallée, France
“This book provides an excellent resource for both teaching and learning modern microeconometric practice, using the most popular software package in this area. The coverage includes discrete choice models and models for panel data as well as linear regression and instrumental variables methods. …” —Steve Bond, Nuffield College, Oxford, and Institute for Fiscal Studies, London, UK
Catalog no. SZ0130 2007, 340 pp., Soft Cover ISBN: 978-1-59718-013-9
$88.95 / £56.99
Bernard Lapeyre École Nationale des Ponts et Chaussées, Marne-la-Vallée, France
This introduction covers the probabilistic techniques required to understand the most widely used financial models. This edition presents fully updated material on stochastic volatility models and option pricing as well as a new chapter on credit risk modeling. It contains many numerical experiments, realworld examples, and additional exercises. Catalog no. C626 2008, 256 pp. ISBN: 978-1-58488-626-6
$73.95 / £36.99
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Biostatistics
New!
New!
Cluster Randomised Trials
Data and Safety Monitoring Committees in Clinical Trials
Richard J. Hayes London School of Hygiene & Tropical Medicine, UK
Lawrence H. Moulton Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
An exciting choice of study design With data sets available for download online, this book discusses the design, conduct, and analysis of health trials that randomize groups of individuals to different treatments. It encourages readers to apply the methods to their own trials, reproduce the analyses presented, and explore alternative approaches. Features • Presents simple methods that are easy to apply with readily available statistical software and that perform well under the conditions experienced in most CRTs • Provides substantial material on study design options • Includes a variety of practical examples from both developing and industrialized countries, with many of the examples based on the authors’ own research • Illustrates the application of analytical methods through several data sets from actual trials • Shows how data can be analyzed using Stata
Jay Herson Johns Hopkins University, Baltimore, Maryland, USA
Focuses on the practical clinical and statistical issues that arise in pharmaceutical industry trials This book summarizes the author’s experience in serving on many DMCs and in heading up a contract research organization that provided statistical support to nearly seventyfive DMCs. It leads readers through the types of reports for adverse events and lab values. Features • Presents the statistical requirements of data monitoring committees in useful table and graphical formats • Explains the difference in DMC operations between the pharmaceutical industry and NIH-sponsored trials • Emphasizes safety rather than efficacy • Covers adaptive designs and the interpretation of tables • Gives advice on how statisticians can best interact with physician members of DMCs • Shows how physicians think differently about safety data than statisticians, proving that both views are needed
Catalog no. C8164 January 2009, 338 pp. ISBN: 978-1-58488-816-1
Catalog no. C7037 March 2009, c. 191 pp. ISBN: 978-1-4200-7037-8
$89.95 / £54.99
$89.95 / £54.99
For more information and complete contents, visit www.crcpress.com
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Biostatistics New!
Bayesian Methods for Measures of Agreement Lyle D. Broemeling Medical Lake, Washington, USA
Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, this book presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process. The author presents many real-world examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application. Catalog no. C3414 January 2009, 340 pp. ISBN: 978-1-4200-8341-5
$89.95 / £54.99
New!
Sample Sizes for Clinical Trials Steven A. Julious University of Sheffield, UK
This practical book introduces the calculations performed for sample size estimation in clinical trials. It presents key concepts of clinical trials as well as different trial objectives, including bioequivalence and noninferiority. The book covers normal, binary, ordinal, survival, and other types of data and features numerous worked examples using SAS, with data sets and code available for download online. Catalog no. C7397 May 2009, c. 323 pp. ISBN: 978-1-58488-739-3
$79.95 / £48.99
New! New!
Design and Analysis of Clinical Trials with Time-toEvent Endpoints Edited by
Karl E. Peace Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USA
Statistical Analysis for Decision Makers in Healthcare, Second Edition Understanding and Evaluating Critical Information in Changing Times Jeffrey C. Bauer Futures Practice, ACS Health Care Solutions, Chicago, Illinois, USA
This comprehensive resource provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials in which time-to-event is of critical interest. Drawing on the expert contributors’ experiences working in biomedical research and clinical drug development, it covers an array of time-to-event methods and explores an assortment of real-world applications.
Designed for the busy health care professional who needs to collect, analyze, and/or evaluate data, this accessible work explains the fundamental concepts, uses, and misuses of statistics. The author introduces the practice of quantitative analysis to provide an understanding of the principles of scientific inquiry, applied to clinical medicine, program evaluation, policy analysis, management, accounting, and research.
Catalog no. C6639 April 2009, c. 616 pp. ISBN: 978-1-4200-6639-5
Catalog no. K10061 May 2009, c. 160 pp., Soft Cover ISBN: 978-1-4398-0076-8
$99.95 / £60.99
$49.95 / £30.99
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Biostatistics New!
Translational Medicine Strategies and Statistical Methods Edited by
Dennis Cosmatos Wyeth, Rydal, Pennsylvania, USA
Shein-Chung Chow Duke University School of Medicine, Durham, North Carolina, USA
This book examines the critical decisions that must be made to successfully transition from basic to clinical science. It covers alternative research approaches that lead to faster and more accurate decisions on data, biomarker development in early phase clinical trials, genomic and clinical databases, and the design and analysis for translating research findings. Catalog no. C8725 January 2009, 224 pp. ISBN: 978-1-58488-872-7
Bayesian Biostatistics and Diagnostic Medicine Lyle D. Broemeling Medical Lake, Washington, USA
“… the author of this book shows how the Bayesian approach can be used to advantage when medical diagnosis is based on data with uncertainty. … a general strength of the book is careful discussion of study designs and protocols … The inclusion of WinBUGS code is also a plus. … highly recommended …” —Biometrics, March 2009
Catalog no. C7672 2008, 216 pp. ISBN: 978-1-58488-767-6
$83.95 / £53.99
$89.95 / £57.99
New! New!
Bayesian Disease Mapping Hierarchical Modeling in Spatial Epidemiology Andrew B. Lawson Medical University of South Carolina, Charleston, USA
This work provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. It explains how to apply the methods to disease mapping using numerous realworld data sets. The data sets, WinBUGS ODC files, and R code are available on the author’s website. Catalog no. C8407 January 2009, 368 pp. ISBN: 978-1-58488-840-6
Adaptive Design Theory and Implementation Using SAS and R Mark Chang AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA
“This easy-to-read book provides the reader with a unified and concise presentation of adaptive design theories, together with computer programs written in SAS and R for the design and simulation of adaptive trials. … The text, computer programs, and data sets will be of value to both practitioners and students alike.” —International Statistical Review, 2008
Catalog no. C962X 2007, 440 pp. ISBN: 978-1-58488-962-5
$89.95 / £57.99
$79.95 / £49.99 For more information and complete contents, visit www.crcpress.com
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Biostatistics Statistical Design and Analysis of Stability Studies Shein-Chung Chow “…a comprehensive and unified presentation of the principles and methodologies of design and analysis of stability studies. … a well-balanced summary of current regulatory perspectives. …” —International Statistical Review, 2008
Catalog no. C9055, 2007, 352 pp. ISBN: 978-1-58488-905-2, $89.95 / £57.99
EXTBOOK
Introduction to Statistical Methods for Clinical Trials Thomas D. Cook and David L. DeMets “The (technical) statistical content is the main focus of the book and this is what helps it to stand apart from most others on clinical trials (even the more obviously statistically orientated ones). …” —Biometrics, December 2008
New edition!
Catalog no. C0005, 2008, 464 pp. ISBN: 978-1-58488-027-1, $73.95 / £46.99
Sample Size Calculations in Clinical Research
Missing Data in Longitudinal Studies
Second Edition Shein-Chung Chow, Jun Shao, and Hansheng Wang “This impressive book contains formulae for computing sample size in a wide range of settings. …” —Ian White, Medical Research Council Biostatistics Unit, Journal of the Royal Statistical Society
Catalog no. C9829, 2008, 480 pp. ISBN: 978-1-58488-982-3, $89.95 / £57.99
New!
Design and Analysis of Bioavailability and Bioequivalence Studies Third Edition Shein-Chung Chow and Jen-pei Liu With four new chapters, this third edition presents the latest progress of activities and results in bioavailability and bioequivalence on regulatory requirements, scientific and practical issues, and statistical methodology. Catalog no. C6684, January 2009, 760 pp., ISBN: 978-1-58488-668-6, $99.95 / £63.99
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Strategies for Bayesian Modeling and Sensitivity Analysis Michael J. Daniels and Joseph W. Hogan “…Biostatisticians who seek a clear and thorough overview of the state of knowledge in this area would do well to make this excellent book their first stop.” —Biometrics, March 2009
Catalog no. C6099, 2008, 328 pp. ISBN: 978-1-58488-609-9, $79.95 / £49.99 EXTBOOK
New edition!
Medical Biostatistics Second Edition A. Indrayan Praise for the First Edition “The book covers a wealth of information ranging from medical uncertainties to statistical fallacies. … a tour of the biostatistical field in clear and intelligent language…” —Journal of the Royal Statistical Society, 2003
Catalog no. C8873, 2008, 824 pp.” ISBN: 978-1-58488-887-1, $99.95 / £55.99
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Biostatistics Computational Pharmacokinetics Anders Kallen Astra Zeneca R&D Lund, Sweden
This book outlines the fundamental concepts and models of PK from a mathematical perspective based on clinically relevant parameters. Catalog no. C6065, 2008, 184 pp. ISBN: 978-1-4200-6065-2, $79.95 / £49.99
New!
Spatial Epidemiological Approaches in Disease Mapping and Analysis Poh-Chin Lai, Fun-Mun So, and Ka-Wing Chan University of Hong Kong
This resource equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries. Catalog no. 45466, January 2009, 194 pp., ISBN: 978-1-4200-4546-8, $79.95 / £55.99
New edition!
Analysis of Correlated Data with SAS and R Third Edition Mohamed M. Shoukri and Mohammad A. Chaudhary Focusing on the health sciences, this edition features new chapters on analyzing clustered data and clustered count data. An accompanying CD-ROM contains data sets and the SAS and R codes. Catalog no. C6196, 2007, 312 pp. ISBN: 978-1-58488-619-8, $93.95 / £59.99
Adaptive Design Methods in Clinical Trials Shein-Chung Chow and Mark Chang “…This book is one of the first of its kind to be released solely dealing with adaptive designs in clinical trials. … a useful reference …” —Pharmaceutical Statistics, 2008
Catalog no. C7761, 2007, 296 pp. ISBN: 978-1-58488-776-8, $89.95 / £57.99
EXTBOOK
Elementary Bayesian Biostatistics Lemuel A. Moyé University of Texas, Houston, USA
“… What makes it very different from common textbooks is its blending of history, controversy (about probability, statistics, and clinical studies), real-life examples, and wise practical advice. … a very readable introduction …” —International Statistical Review, 2008
Catalog no. C7249, 2008, 400 pp. ISBN: 978-1-58488-724-9, $83.95 / £53.99
New!
Statistical and Computational Pharmacogenomics Rongling Wu and Min Lin This work presents recent developments in statistical methodology with a number of detailed worked examples that outline how these methods can be applied. Catalog no. C8288, January 2009, 368 pp., ISBN: 978-1-58488-828-4, $79.95 / £49.99
For more information and complete contents, visit www.crcpress.com
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Statistics for Psychology, Social Sciences, & Law EXTBOOK
Coming soon!
New edition!
Linear Causal Modeling with Structural Equations
Analysis of Multivariate Social Science Data
Stanley A. Mulaik
Second Edition
Georgia Institute of Technology, Atlanta, USA
Features
David J. Bartholomew, Fiona Steele, Irini Moustaki, and Jane I. Galbraith “The strength of this book lies in the right mixture of simple mathematical expressions, comprehensive non-mathematical descriptions of various multivariate approaches, numerous interesting real-life data examples, and detailed interpretation of the results. … The comprehensive web resource the authors provide is also commendable. … Overall, this is an outstanding book on multivariate statistics in the field of social sciences, with a strong focus on categorical data. It can be recommended without reservations for quantitative graduate courses in psychology, sociology, education, and related areas. …”
• Provides an overview of SEMs for causal modeling • Introduces the basic concepts of SEMs, including recent concepts from Bayesian graph theory • Includes an extensive survey of model evaluation techniques • Explores applications to confirmatory factor analysis, multilevel models, longitudinal models, and nonrecursive models
Exploring how to use key multivariate methods in the social sciences, this edition contains three new chapters on regression analysis, confirmatory factor analysis and structural equation models, and multilevel models. It presents many examples of real-world applications and establishes a unified approach to latent variable modeling. Ancillary material is available on the book’s website.
Catalog no. K10039 June 2009, c. 468 pp. ISBN: 978-1-4398-0038-6
Catalog no. C9608 2008, 384 pp., Soft Cover ISBN: 978-1-58488-960-1
$79.95 / £48.99
$69.95 / £29.99
Emphasizes causation as a functional relationship between variables This book presents the fundamentals of SEM, including concepts from Bayesian graph theory, path tracing rules for variances and covariances, equivalent models, and instrumental variables. It discusses parameter estimation beyond the basics of nonlinear optimization algorithms, addresses polychoric and polyserial correlation, and offers an thorough survey of various goodness-of-fit indices, evaluating their limitations and strengths.
26
—Journal of Statistical Software, February 2009
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Statistics for Psychology, Social Sciences, & Law Statistical Test Theory for the Behavioral Sciences Dato N.M. de Gruijter and Leo J. Th. van der Kamp Leiden University, The Netherlands
“…a comprehensive and well-illustrated overview … Various concepts and methodologies are well explained and illustrated through examples that are accompanied with data-based examples. … The book will undoubtedly appeal to the students and application-oriented researchers in the social sciences who wish to obtain a detailed overview of statistical test theory. …” —Journal of the Royal Statistical Society
Catalog no. C9586 2008, 280 pp. ISBN: 978-1-58488-958-8
$73.95 / £46.99 EXTBOOK
New edition!
Randomization Tests Fourth Edition Eugene Edgington University of Calgary, Alberta, Canada
Patrick Onghena K.U. Leuven, Belgium
This fourth edition describes the randomization test theory, hypotheses that are being tested, and the role of random assignment. With endof-chapter exercises and new examples, it also features updated material on N-of-1 randomization tests and includes an accompanying CD-ROM with up-to-date randomization test programs and FORTRAN codes. The authors provide a website with solutions to the exercises and updates about new releases of RT4Win.
EXTBOOK
New edition!
Bayesian Methods A Social and Behavioral Sciences Approach, Second Edition Jeff Gill Washington University, St. Louis, Missouri, USA
“…a major update from the original version. … Of the texts I have tried so far in [my] class, Gill’s book has definitely worked the best for me. … [it] fills an important market segment for classes where the canonical Bayesian texts are a bit too advanced. …” —Herbert K.H. Lee, University of California, Santa Cruz, The American Statistician, November 2008
Catalog no. C5629 2008, 752 pp. ISBN: 978-1-58488-562-7
$73.95 / £46.99 EXTBOOK
New edition!
Bayesian Data Analysis Second Edition Andrew Gelman, John B. Carlin, Hal S. Stern, and Donald B. Rubin Incorporating new and updated information, this second edition offers additional material on how Bayesian methods are connected to other approaches, a stronger focus on MCMC, a chapter on advanced computation topics, more examples, and additional chapters on current models for Bayesian data analysis, such as equation models and generalized linear mixed models.
Catalog no. C8589 2007, 376 pp. ISBN: 978-1-58488-589-4
Catalog no. C388X 2004, 696 pp. ISBN: 978-1-58488-388-3
$83.95 / £53.99
$73.95 / £46.99
For more information and complete contents, visit www.crcpress.com
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Environmental Statistics EXTBOOK
EXTBOOK
New!
Statistics for Environmental Science and Management
Sampling Strategies for Natural Resources and the Environment
Bryan F.J. Manly
Timothy G. Gregoire
Western EcoSystem Technology, Inc., Laramie, Wyoming, USA
This book introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Catalog no. C6147 January 2009, 292 pp. ISBN: 978-1-4200-6147-5
$69.95 / £44.99
Yale School of Forestry & Environmental Studies, New Haven, Connecticut, USA
Harry T. Valentine USDA Forest Service, Durham, New Hampshire, USA
This text covers the sampling techniques used in natural resource and environmental disciplines. It presents unique, detailed treatments of importance sampling, plot/quadrat sampling, Bitterlich sampling, line intersect sampling, and the edge-effect problem. Other distinguishing features include discussions of randomized branch sampling, ranked set sampling, 3P sampling, and sampling with partial replacement. Catalog no. C3707 2008, 496 pp. ISBN: 978-1-58488-370-8
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Statistical Detection and Surveillance of Geographic Clusters
$89.95 / £39.99
Ikuho Yamada
Sampling Techniques for Forest Inventories
University of Utah, Salt Lake City, USA
Daniel Mandallaz
This book reviews methods for cluster detection, organized according to the different types of hypotheses that can be investigated using these techniques. It includes actual data sets and simplified examples to illustrate key concepts. The authors also discuss the surveillance of geographic patterns and describe applications using GeoSurveillance software, which is available for download online.
ETH Zurich, Switzerland
Peter Rogerson University of Buffalo, New York, USA
Catalog no. C9357 January 2009, 324 pp. ISBN: 978-1-58488-935-9
$89.95 / £57.99
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“This is an important reference for those wanting to understand the theory of sampling in forest inventory, and also for those with graduate- or postgraduate-level skills in statistics who apply these techniques in the forestry industry. … a very useful, up-to-date reference book on the theory of statistics as it should be applied to forest inventory.” —International Statistical Review, 2008
Catalog no. C9764 2008, 272 pp. ISBN: 978-1-58488-976-2
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Environmental Statistics EXTBOOK
Probability and Statistics Applications for Environmental Science
New!
Quality Aspects in Spatial Data Mining Edited by
Alfred Stein
Stacey J. Shaefer
Wageningen Ag University, The Netherlands
Yonkers, New York, USA
Wenzhong Shi
Louis Theodore
The Hong Kong Polytechnic University, Kowloon
Manhattan College, Riverdale, New York, USA
Wietske Bijker
This book explores the use of probability distributions, Monte Carlo methods, fault and event trees, and examines how they relate to reliability and failure theory. It also provides coverage of contemporary statistics with topics like hypothesis testing, students’ t and chi-square tests, regression analysis, analysis of variance, and nonparametric tests.
ITC, Enschede, The Netherlands
This volume covers data acquisition, geoinformation theory, spatial statistics, and dissemination. Each topic is looked at from a conceptual, applied, and methodological point of view. Stressing practical considerations, a significant portion of the text is dedicated to data quality applications.
Catalog no. 7561 2007, 367 pp. ISBN: 978-0-8493-7561-3
Catalog no. 69268 January 2009, 374 pp. ISBN: 978-1-4200-6926-6
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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses Wenzhong Shi
New!
Machine Learning Algorithms for Spatial Data Analysis and Modelling Mikhail Kanevski, Vadim Timonin, and Alexi Pozdnukhov
The Hong Kong Polytech University, Kowloon
University of Lausanne, Switzerland
This book addresses one of the fundamental theoretical issues: uncertainties in spatial data and analysis. The author contributes his own unique research in modeling positional uncertainty based on probability theory and statistics.
With case studies based on environmental and pollution data, this book discusses artificial neural networks of different architectures, statistical learning theory, support vector machines used for the classification and mapping of spatially distributed data, and new trends in machine learning and their application to spatial data. It includes a CD-ROM with software that allows readers to put the concepts to practice.
Catalog no. 59270 September 2009, c. 432 pp. ISBN: 978-1-4200-5927-4
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Catalog no. EF8237 April 2009, 400 pp. ISBN: 978-0-8493-8237-6
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Statistical Genetics & Bioinformatics New!
R Programming for Bioinformatics
Handbook of Hidden Markov Models in Bioinformatics
Robert Gentleman
Martin Gollery
“This is a very excellent book. … I think this is actually the best handbook on R programming that is currently available. …”
With problems sets in each chapter and a CDROM of related material, this handbook focuses on how to choose and use various methods and programs available for HMMs.
—Journal of Statistical Software
Catalog no. C6367, January 2009, 328 pp. ISBN: 978-1-4200-6367-7, $69.95 / £44.99 EXTBOOK
Introduction to Machine Learning and Bioinformatics Sushmita Mitra, Sujay Datta, Theodore Perkins, and George Michailidis “…a good text/reference book that summarizes the latest developments in the interface between bioinformatics and machine learning and offer[s] a thorough introduction to each field. …” —Biometrics, March 2009
Catalog no. C682X, 2008, 384 pp. ISBN: 978-1-58488-682-2, $79.95 / £39.99
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Gene Expression Studies Using Affymetrix Microarrays Hinrich Gohlmann and Willem Talloen
Catalog no. C6846, 2008, 176 pp. ISBN: 978-1-58488-684-6, $59.95 / £38.99
Coming soon!
Meta-Analysis and Combining Information in Genetics and Genomics Rudy Guerra and Darlene R. Goldstein The first book devoted to meta-analysis in genetics, this work provides theory, methods, and guiding principles for meta-analysis and combining information for various types of genetic studies. Catalog no. C522X, July 2009, c. 360 pp. ISBN: 978-1-58488-522-1, $99.95 / £63.99 EXTBOOK
Coming soon!
Statistics in Human Genetics and Molecular Biology Cavan Reilly
This book tears down the omnipresent language barriers among molecular biology, bioinformatics, and biostatistics researchers by explaining the entire process of a gene expression study from conception to interpretation.
This text covers cluster analysis, combinatorial optimization, and dynamic programming, along with the core topics of genome mapping, biological sequence analysis, and the analysis of gene expression arrays.
Catalog no. C6515, June 2009, c. 372 pp. ISBN: 978-1-4200-6515-2, $89.95 / £54.99
Catalog no. C7263, July 2009, c. 280 pp. ISBN: 978-1-4200-7263-1, $59.95 / £38.99
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The book - The new edition of this bestselling text features new chapters on dose finding, microarray studies, and Bayesian approaches.
N-Solution Bundle Version (Book and software)
The software - Based on the book, N-Solution 2007 is the leading software package for quick and easy sample size calculation and power analysis. The Basic version included with the text contains all the procedures for testing equality, superiority/non-inferiority and equivalence for comparing (i) means, (ii) proportions, and (iii) time-to-event data. I n addition, sensitivity analyses for each procedure are also included.
Catalog no. K10700, March 2009, 480 pp., ISBN: 978-1-4398-1359-1, $249.95 / ÂŁ132.00
The book - The new edition of this bestselling text features four new chapters that present a thorough account of novel developments in the field. BABE-Solution Bundle Version (Book and software)
The software - Based on the book, BABE Solution 2008 is the first software package devoted to the design and analysis of Bioavailability/Bioequivalence. The Basic version included with the text features BE assessment for in vivo bioequivalence studies.
Catalog no. K10699, March 2009, 760 pp., ISBN: 978-1-4398-1358-4, $299.95 / ÂŁ167.00
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