Testing Statistical Hypotheses

Discover the latest insights in statistical analysis with the 4th edition of Testing Statistical Hypotheses by E. L. Lehmann. Published by Springer Nature Switzerland AG in 2023, this comprehensive volume spans an impressive 1012 pages, making it an essential resource for researchers and students alike.

This updated edition features significant enhancements, including an extensive exploration of multiple hypothesis testing and a new section dedicated to the extensions of the Central Limit Theorem. Additionally, it offers in-depth coverage of high-dimensional testing, along with expanded discussions on permutation and randomization tests. The book also addresses testing moment inequalities and introduces numerous new problems throughout the text to enrich your learning experience.

Whether you are a seasoned statistician or a newcomer to the field, Testing Statistical Hypotheses is your key to mastering the complexities of statistical testing. Don't miss out on this invaluable addition to your library!