Mathematical Statistics with Resampling and R, Third Edition

The third edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book is classroom-tested to ensure an accessible presentation, and uses the powerful and flexible computer language R for data analysis. It introduces permutation tests and bootstrap methods to motivate classical inference methods and is an ideal textbook for undergraduate and graduate students in mathematical statistics courses, as well as practitioners and researchers looking to expand their toolkit of resampling and classical techniques.

Format: Hardback
Length: 576 pages
Publication date: 24 October 2022
Publisher: John Wiley and Sons Ltd

Mathematical Statistics with Resampling and R is a comprehensive third edition that combines the latest software applications with modern resampling techniques. This book is designed to help students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals.

The third edition of Mathematical Statistics with Resampling and R has been classroom-tested to ensure an accessible presentation. It utilizes the powerful and flexible computer language R for data analysis, making it a valuable tool for students and professionals in the field.

The book introduces permutation tests and bootstrap methods to motivate classical inference methods and to be utilized as useful tools in their own right when classical methods are inaccurate or unavailable. It strikes a balance between simulation, computing, theory, data, and applications.

Throughout the book, new and updated case studies representing a diverse range of subjects, such as flight delays, birth weights of babies, U.S. demographics, views on sociological issues, and problems at Google and Instacart, illustrate the relevance of mathematical statistics to real-world applications.

Changes and additions to the third edition include:

New and updated case studies that incorporate contemporary subjects like COVID-19
Several new sections, including introductory material on causal models and regression methods for causal modeling in practice
Modern terminology distinguishing statistical discernibility and practical importance
New exercises and examples, data sets, and R code, using dplyr and ggplot2
A complete instructors solutions manual
A new GitHub site that contains code, data sets, additional topics, and instructor resources

Mathematical Statistics with Resampling and R is an essential resource for students and professionals in the field of mathematical statistics, providing a comprehensive and up-to-date introduction to the latest techniques and applications.

Weight: 850g
Dimension: 249 x 157 x 27 (mm)
ISBN-13: 9781119874034