Multiple Comparisons

Theory and Methods

Jason Hsu

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English

Chapman & Hall/CRC
21 January 2023

Probability & statistics

Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.

By: Jason Hsu
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 408g
ISBN: 9781032478029
ISBN 10: 1032478020
Pages: 292
Publication Date: 21 January 2023
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Paperback
Publisher's Status: Active

Preface. Introduction to Simultaneous Statistical Inference. Classification of Multiple Comparison Methods. Multiple Comparisons With a Control. Multiple Comparisons With the Best. All-Pairwise Comparisons. Abuses and Misconceptions in Multiple Comparisons. Multiple Comparison in the General Linear Model. Some Useful Probabilistic Inequalities. Some Useful Geometric Lemmas. Sample Size Computations. Accessing Computer Codes. Tables of Critical Values. Bibliography. Subject Index.

Jason Hsu