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.
Regressions in Covariances, Dependencies and Graphs
1st Edition
By Mohsen Pourahmadi, Aramayis Dallakyan
September 02, 2026
Multivariate data routinely collected nowadays using modern technological devices display cross-sectional, temporal, and spatial dependence. Regressions in Covariances, Dependencies and Graphs emphasizes the phenomenal roles of regression in modeling various dependencies using the twin principles ...
Analysis of Longitudinal Studies in Epidemiology
1st Edition
By Nicholas P. Jewell, Alan Hubbard
August 28, 2026
Aimed at a nontechnical audience, with intuitive explanations instead of mathematical derivations, Analysis of Longitudinal Studies in Epidemiology covers a wide range of topics that include Poisson regression, survival analysis, repeated measure, clustered data, longitudinal observations, and ...
Introduction to Modern Randomization-Based Design and Analysis for Causal Inference
1st Edition
By Tirthankar Dasgupta, Donald B. Rubin
August 17, 2026
Design of experiments is, in essence, a disciplined way to learn about cause and effect. Modern experiments can involve a few to millions of units and hundreds or thousands of covariates. These settings demand tools that are flexible, transparent, and faithful to the underlying design in order ...
Nonparametric Inference
1st Edition
By Hira L. Koul, Anton Schick, Palaniappan Vellaisamy
August 17, 2026
This book provides a comprehensive and balanced treatment of both classical and modern methods in nonparametric inference. It begins with foundational topics such as order statistics, ranks, and confidence intervals for medians and percentiles, before progressing to distribution-free tests, robust ...
The Analysis of Time Series: An Introduction with R
8th Edition
By Haipeng Xing, Chris Chatfield
August 17, 2026
The field of time series analysis has undergone a remarkable transformation since the publication of the seventh edition of this book. While classical statistical models such as ARIMA, state-space models, and spectral methods remain essential, the rise of artificial intelligence (AI) has introduced...
A Course in Large-sample and High-dimensional Theory
1st Edition
By Zhiqiang Tan
August 10, 2026
This book provides a systematic treatment of two central regimes in statistical theory: classical large-sample theory for M- and Z-estimation with a fixed number of parameters, and high-dimensional theory where the number of parameters can be comparable to or larger than the sample size. While the ...
A Course in Regression and Smoothing Methods
1st Edition
By Zhiqiang Tan
August 10, 2026
This book provides a concise account of four components of regression and smoothing methods: linear regression, generalized linear models, spline and kernel methods, and generalized linear mixed models. By bringing together parametric regression and nonparametric smoothing methods, the book ...
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
3rd Edition
By Dani Gamerman, Hedibert F. Lopes, Flávio Bambirra Gonçalves
July 29, 2026
Marking a pivotal moment in the evolution of Bayesian inference, the third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the field of Statistics and the broader landscape of data science over the past two decades. Building ...
Foundations of Bayesian Statistics for Data Scientists: With R and Python
1st Edition
By Alan Agresti, Maria Kateri, Ranjini Grove, Antonietta Mira
June 09, 2026
This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science. It is designed as a textbook for advanced undergraduate and master’s students in Data Science, Statistics, or Mathematics who are interested in learning about Bayesian ...
Survival Analysis: Principles and Applications in Clinical Trials and Beyond
1st Edition
By Song Yang
April 29, 2026
Survival analysis is crucial in many fields, including biomedical research, actuarial science, reliability analysis, business and customer analytics, econometrics, and social science. It has witnessed significant advancements in recent decades. However, most of this progress remains in scattered ...
Experimental Design for Data Science and Engineering
1st Edition
By V. Roshan Joseph
March 10, 2026
Theory, experiments, computation, and data are considered as the four pillars of science and engineering. Experimental Design for Data Science and Engineering describes efficient statistical methods for making the experiments cheaper and computations faster for extracting valuable information from ...
Time Series: A Data Analysis Approach Using R
2nd Edition
By Robert H. Shumway, David S. Stoffer
February 08, 2026
The goals of this new, second edition of this book are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. An expanded feature of this edition is the inclusion of many nontrivial data sets illustrating the...