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Chapman & Hall/CRC Texts in Statistical Science


About the 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.

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Theory of Spatial Statistics A Concise Introduction

Theory of Spatial Statistics: A Concise Introduction

1st Edition

By M.N.M. van Lieshout
March 11, 2019

Theory of Spatial Statistics: A Concise Introduction presents the most  important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, ...

Introduction to Probability, Second Edition

Introduction to Probability, Second Edition

2nd Edition

By Joseph K. Blitzstein, Jessica Hwang
February 08, 2019

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google ...

A Computational Approach to Statistical Learning

A Computational Approach to Statistical Learning

1st Edition

By Taylor Arnold, Michael Kane, Bryan W. Lewis
January 29, 2019

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal ...

Statistics in Engineering With Examples in MATLAB® and R, Second Edition

Statistics in Engineering: With Examples in MATLAB® and R, Second Edition

2nd Edition

By Andrew Metcalfe, David Green, Tony Greenfield, Mayhayaudin Mansor, Andrew Smith, Jonathan Tuke
January 29, 2019

Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MATLAB and R covers the fundamentals of ...

Graphics for Statistics and Data Analysis with R

Graphics for Statistics and Data Analysis with R

2nd Edition

By Kevin J. Keen
May 18, 2018

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is ...

Analysis of Variance, Design, and Regression Linear Modeling for Unbalanced Data, Second Edition

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition

2nd Edition

By Ronald Christensen
December 22, 2015

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully ...

Essentials of Probability Theory for Statisticians

Essentials of Probability Theory for Statisticians

1st Edition

By Michael A. Proschan, Pamela A. Shaw
March 15, 2016

Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as ...

Statistics for Finance

Statistics for Finance

1st Edition

By Erik Lindström, Henrik Madsen, Jan Nygaard Nielsen
April 16, 2015

Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that ...

An Introduction to Generalized Linear Models

An Introduction to Generalized Linear Models

4th Edition

By Annette J. Dobson, Adrian G. Barnett
April 13, 2018

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, ...

Linear Models and the Relevant Distributions and Matrix Algebra

Linear Models and the Relevant Distributions and Matrix Algebra

1st Edition

By David A. Harville
March 13, 2018

Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models...

Theory of Stochastic Objects Probability, Stochastic Processes and Inference

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference

1st Edition

By Athanasios Christou Micheas
January 24, 2018

This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by existing textbooks; ...

Stochastic Processes An Introduction, Third Edition

Stochastic Processes: An Introduction, Third Edition

3rd Edition

By Peter Watts Jones, Peter Smith
October 16, 2017

Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modelling and analysis of random experiments, where processes evolve over time. The text begins with a review of relevant fundamental probability...

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