Multiple Comparison Procedures (Wiley Series in Probability and Statistics). Este artículo no está disponible.Multiple Comparison Procedures (Wiley Series in Probability and Statistics)

An up-to-date unified review of the field of multiple comparisons with equal emphasis on theory and applications, and an easy and accessible guide to multiple comparison procedures in practice. Procedures are illustrated by examples and it is shown when and why maps should be used.

Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of statistical inferences. Provides detailed descriptions of the derivation and implementation of a variety of procedures, paying particular attention to classical approaches and confidence estimation procedures. Also discusses the benefits and drawbacks of other methods. Numerous examples and tables for implementing procedures are included, making this work both practical and informative.