This thoroughly updated second edition of Mathematical Statistics with Resampling and R, authored by Laura M. Chihara, combines the latest software applications with modern resampling techniques to provide a balanced exploration of theory, computing, and applications in mathematical statistics. The book is published by Wiley and offers an accessible introduction to permutation tests and bootstrap methods that can serve as foundational tools for understanding classical inference methods.

Striking a balance between theoretical concepts and practical implementation, this edition explores additional topics such as consulting, paired t-tests, ANOVA, and even delves into Google interview questions. The text is enriched with new and updated case studies that cover diverse subjects ranging from flight delays to birth weights of babies and telephone company repair times, illustrating the real-world relevance of statistical methods.

Written in English, this second edition features 560 pages packed with detailed content and insights, making it a valuable resource for students and professionals alike. The book’s ISBN-13 is 978-1119416548, and it was published on September 19, 2018. With its focus on modern resampling techniques and practical applications, this edition ensures that readers gain a comprehensive understanding of mathematical statistics in the context of contemporary data analysis.