Multiple Comparison Procedures

Front Cover
Wiley, Dec 2, 2009 - Mathematics - 480 pages
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The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

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.

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About the author (2009)

Yosef Hochberg, PhD, is Professor in the Department of Statistics and Operations Research at Tel Aviv University, Israel. Dr. Hochberg's areas of research interest include multiple comparisons, categorical data analysis, and medical applications of biostatistical methods.

Ajit C. Tamhane, PhD, is Senior Associate Dean of the McCormick School of Engineering and Applied Science at Northwestern University, where he is also Professor in the Department of Industrial Engineering and Management Sciences. A Fellow of the American Statistical Society, Dr. Tamhane has more than thirty years of academic and consulting experience in the areas of applied and mathematical statistics. He is the author of Statistical Analysis of Designed Experiments: Theory and Applications, also published by Wiley.

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