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.
Probability and Statistical Inference: From Basic Principles to Advanced Models
1st Edition
By Miltiadis C. Mavrakakis, Jeremy Penzer
September 26, 2022
Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without ...
Randomization, Bootstrap and Monte Carlo Methods in Biology
4th Edition
By Bryan F.J. Manly, Jorge A. Navarro Alberto
April 29, 2022
Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical ...
Design and Analysis of Experiments and Observational Studies using R
1st Edition
By Nathan Taback
April 27, 2022
Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data ...
Bayes Rules!: An Introduction to Applied Bayesian Modeling
1st Edition
By Alicia A. Johnson, Miles Q. Ott, Mine Dogucu
March 04, 2022
An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, Bayes Rules!: An Introduction to Applied Bayesian Modeling brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, the book is an ideal resource for advanced ...
Bayesian Modeling and Computation in Python
1st Edition
By Osvaldo A. Martin, Ravin Kumar, Junpeng Lao
December 29, 2021
Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying ...
Foundations of Statistics for Data Scientists: With R and Python
1st Edition
By Alan Agresti, Maria Kateri
November 30, 2021
Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data ...
Sampling: Design and Analysis
3rd Edition
By Sharon L. Lohr
November 30, 2021
"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor ...
Probability, Statistics, and Data: A Fresh Approach Using R
1st Edition
By Darrin Speegle, Bryan Clair
November 26, 2021
This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions ...
Fundamentals of Causal Inference: With R
1st Edition
By Babette A. Brumback
November 10, 2021
"Overall, this textbook is a perfect guide for interested researchers and students who wish to understand the rationale and methods of causal inference. Each chapter provides an R implementation of the introduced causal concepts and models and concludes with appropriate exercises."-An-Shun Tai &...
A First Course in Linear Model Theory
2nd Edition
By Nalini Ravishanker, Zhiyi Chi, Dipak K. Dey
October 19, 2021
Thoroughly updated throughout, A First Course in Linear Model Theory, Second Edition is an intermediate-level statistics text that fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an ...
Statistical Analysis of Financial Data: With Examples In R
1st Edition
By James Gentle
September 30, 2021
Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of ...
Bayesian Networks: With Examples in R
2nd Edition
By Marco Scutari, Jean-Baptiste Denis
July 29, 2021
Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its application using R code. The examples start from the ...