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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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Analysis of Categorical Data with R

Analysis of Categorical Data with R

2nd Edition

Forthcoming

By Christopher R. Bilder, Thomas M. Loughin
July 18, 2024

Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ...

A First Course in Causal Inference

A First Course in Causal Inference

1st Edition

Forthcoming

By Peng Ding
June 18, 2024

The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the ...

Statistical Inference

Statistical Inference

2nd Edition

Forthcoming

By Anne Casella, Roger Berger
May 23, 2024

This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and ...

Generalized Linear Mixed Models Modern Concepts, Methods and Applications

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications

2nd Edition

Forthcoming

By Walter W. Stroup, Marina Ptukhina, Julie Garai
May 21, 2024

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (2nd edition) presents an updated introduction to linear modeling using the generalized linear mixed model (GLMM) as the overarching conceptual framework. For students new to statistical modeling, this book helps them see ...

Nonparametric Statistical Methods Using R

Nonparametric Statistical Methods Using R

2nd Edition

Forthcoming

By John Kloke, Joseph McKean
May 20, 2024

Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.” -The American Statistician This thoroughly updated and expanded second edition of Nonparametric Statistical ...

A Course in the Large Sample Theory of Statistical Inference

A Course in the Large Sample Theory of Statistical Inference

1st Edition

By W. Jackson Hall, David Oakes
December 14, 2023

This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models. Asymptotic results for estimation and testing are derived using the “moving alternative” formulation due to R. A. Fisher and L. Le Cam. Later chapters include discussions of linear rank...

Spatio–Temporal Methods in Environmental Epidemiology with R

Spatio–Temporal Methods in Environmental Epidemiology with R

2nd Edition

By Gavin Shaddick, James V. Zidek, Alexandra M. Schmidt
December 12, 2023

Spatio-Temporal Methods in Environmental Epidemiology with R, like its First Edition, explores the interface between environmental epidemiology and spatio-temporal modeling. It links recent developments in spatio-temporal theory with epidemiological applications. Drawing on real-life problems, it ...

Models for Multi-State Survival Data Rates, Risks, and Pseudo-Values

Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values

1st Edition

By Per Kragh Andersen, Henrik Ravn
October 11, 2023

Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time. They find application particularly in biostatistics, medicine, and public health. The book includes mathematical detail...

Time Series Modeling, Computation, and Inference, Second Edition

Time Series: Modeling, Computation, and Inference, Second Edition

2nd Edition

By Raquel Prado, Marco A. R. Ferreira, Mike West
September 25, 2023

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, Computation, and Inference, Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and ...

Geographic Data Science with Python

Geographic Data Science with Python

1st Edition

By Sergio Rey, Dani Arribas-Bel, Levi John Wolf
June 14, 2023

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in ...

Modelling Survival Data in Medical Research

Modelling Survival Data in Medical Research

4th Edition

By David Collett
May 31, 2023

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of survival data, illustrated using a wide range of examples from biomedical research. Written in a non-technical style, it concentrates on how the techniques are used in practice. Starting with standard methods for...

Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics

1st Edition

By Steffen Lauritzen
April 17, 2023

Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topics—statistical models, linear normal models, exponential families, estimation, asymptotics of maximum likelihood, ...

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