Multiple Comparison Procedures (Wiley Series in Probability and Statistics)

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.

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Offering a balanced, comprehensive presentation of the topic, Multiple Comparison Procedures refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, the authors introduce the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of statistical inferences. The book provides clear, detailed descriptions of the derivation and implementation of a variety of procedures, paying particular attention to classical approaches and confidence estimation procedures. Numerous examples and tables for implementing procedures are included, making this book both practical and informative.