Chapman & Hall/CRC Texts in Statistical Science
About the Book Series
For more than a quarter of a century, this internationally recognized series has fostered the growth of statistical science by publishing upper level textbooks of high quality at reasonable prices. These texts, which cover new frontiers as well as developments in core areas, continue to have a major role in shaping the discipline through the education of young scientists both in statistics as well as in fields wherein the role of statistics is becoming increasingly important.
The series covers a very broad domain. Students in upper level undergraduate and graduate courses in biostatistics, epidemiology, probability and statistics will constitute the primary readership for the series. However, others in areas such as engineering, life science, business, environmental science and social science will find books of interest. Scientists in these areas will also find useful references since emphasis is placed on readability, real examples and case studies, and on tying theory into relevant software such as SAS, Stata, and R.
Please contact us if you have an idea for a book for the series.
Design and Analysis of Experiments with R
1st Edition
By John Lawson
December 17, 2014
Design and Analysis of Experiments with R 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, ...
Statistical Inference: An Integrated Approach, Second Edition
2nd Edition
By Helio S. Migon, Dani Gamerman, Francisco Louzada
September 03, 2014
A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on ...
Linear Algebra and Matrix Analysis for Statistics
1st Edition
By Sudipto Banerjee, Anindya Roy
June 06, 2014
Linear Algebra and Matrix Analysis for Statistics 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 is as self-contained as possible, assuming no prior knowledge ...
Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists
1st Edition
By Francisco J. Samaniego
January 14, 2014
Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is ...
Nonlinear Time Series: Theory, Methods and Applications with R Examples
1st Edition
By Randal Douc, Eric Moulines, David S. Stoffer
January 06, 2014
Designed for researchers and students, Nonlinear Times Series: Theory, Methods and Applications with R Examples familiarizes readers with the principles behind nonlinear time series models—without overwhelming them with difficult mathematical developments. By focusing on basic principles and theory...
Epidemiology: Study Design and Data Analysis, Third Edition
3rd Edition
By Mark Woodward, Mark Woodward
December 19, 2013
Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of ...
Bayesian Data Analysis
3rd Edition
By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
November 01, 2013
Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data ...
Introduction to Statistical Process Control
1st Edition
By Peihua Qiu
October 14, 2013
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, Introduction to Statistical Process Control ...
Nonparametric Methods in Statistics with SAS Applications
1st Edition
By Olga Korosteleva
August 19, 2013
Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications 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 ...
Exercises and Solutions in Statistical Theory
1st Edition
By Lawrence L. Kupper, Brian. H Neelon, Sean M. O'Brien
June 24, 2013
Exercises and Solutions in Statistical Theory helps students and scientists 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 text incorporates many exercises that...
Understanding Advanced Statistical Methods
1st Edition
By Peter Westfall, Kevin S. S. Henning
April 09, 2013
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum ...
The BUGS Book: A Practical Introduction to Bayesian Analysis
1st Edition
By David Lunn, Chris Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter
October 02, 2012
Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical ...