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.
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
2nd Edition
By Julian J. Faraway
March 24, 2016
Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric ...
Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data
1st Edition
By Michael Friendly, David Meyer
December 17, 2015
An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and ...
Mathematical Statistics: Basic Ideas and Selected Topics, Volumes I-II Package
1st Edition
By Peter J. Bickel, Kjell A. Doksum
December 01, 2015
This package includes both Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition, as well as Mathematical Statistics: Basic Ideas and Selected Topics, Volume II. Volume I presents fundamental, classical statistical concepts at the doctorate level without using measure ...
Mathematical Statistics: Basic Ideas and Selected Topics, Volume II
1st Edition
By Peter J. Bickel, Kjell A. Doksum
November 02, 2015
Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the authors’ previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in...
Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition
2nd Edition
By Peter J. Bickel, Kjell A. Doksum
April 13, 2015
Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition ...
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 ...