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.

Springer Book Archives

Book Information
ISBN 9780412982811
Author Jason Hsu
Format Hardback
Page Count 292
Imprint Chapman & Hall/CRC
Publisher Taylor & Francis Ltd
Weight(grams) 710g