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Chapman & Hall/CRC Texts in Statistical Science


132 Series Titles

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Understanding Advanced Statistical Methods

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

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 ...

Stationary Stochastic Processes Theory and Applications

Stationary Stochastic Processes: Theory and Applications

1st Edition

By Georg Lindgren
October 01, 2012

Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field’s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for ...

Generalized Linear Mixed Models Modern Concepts, Methods and Applications

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications

1st Edition

By Walter W. Stroup
September 24, 2012

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how ...

Applied Categorical and Count Data Analysis

Applied Categorical and Count Data Analysis

1st Edition

By Wan Tang, Hua He, Xin M. Tu
June 04, 2012

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach...

Introduction to the Theory of Statistical Inference

Introduction to the Theory of Statistical Inference

1st Edition

By Hannelore Liero, Silvelyn Zwanzig
July 20, 2011

Based on the authors’ lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book ...

Exercises and Solutions in Biostatistical Theory

Exercises and Solutions in Biostatistical Theory

1st Edition

By Sean M. O'Brien, Brian Neelon, Lawrence Kupper
November 09, 2010

Drawn from nearly four decades of Lawrence L. Kupper’s teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous exercises, and ...

Introduction to General and Generalized Linear Models

Introduction to General and Generalized Linear Models

1st Edition

By Henrik Madsen, Poul Thyregod
November 09, 2010

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although ...

Bayesian Ideas and Data Analysis An Introduction for Scientists and Statisticians

Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians

1st Edition

By Ronald Christensen, Wesley Johnson, Adam Branscum, Timothy E Hanson
July 02, 2010

Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, ...

Design and Analysis of Experiments with SAS

Design and Analysis of Experiments with SAS

1st Edition

By John Lawson
May 04, 2010

A culmination of the author’s many years of consulting and teaching, Design and Analysis of Experiments with SAS provides practical guidance on the computer analysis of experimental data. It connects the objectives of research to the type of experimental design required, describes the actual ...

An Introduction to Statistical Inference and Its Applications with R

An Introduction to Statistical Inference and Its Applications with R

1st Edition

By Michael W. Trosset
June 23, 2009

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included...

Statistics in Human Genetics and Molecular Biology

Statistics in Human Genetics and Molecular Biology

1st Edition

By Cavan Reilly
June 19, 2009

Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses ...

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