Testing Statistical Hypotheses

Beschreibung

Testing Statistical Hypotheses, 4^th Edition updates and expands upon the classic graduate text, now a two-volume set. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work grows to include new topics of current relevance. New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central Limit Theorem, coverage of high-dimensional testing, expanded discussions of permutation and randomization tests, coverage of testing moment inequalities, and many new problems throughout the text.

Develops the foundations, principles, theory, and methods of hypothesis testing

Offers reorganized and expanded treatment of asymptotic theory in Volume II, including a new chapter on Central Limit Theorems for dependent random variables, an introduction to high-dimensional testing, and a more thorough treatment of permutation and randomization tests

Features over 100 new problems, bringing the total to approximately 900 problems across both volumes.

Autor*in

E.L. Lehmann

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