Beyond ANOVA (Chapman & Hall/CRC Texts in Statistical Science)

Miller Jr., Rupert G. G.; Chatfield, Chris; Zidek, Jim; Lindsey, Jim

ISBN 10: 0412070111 / ISBN 13: 9780412070112

Published by Chapman and Hall/CRC (edition 1), 1997

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 0412070111-11-1

Bibliographic Details

• Title: Beyond ANOVA (Chapman & Hall/CRC Texts in Statistical Science)
• Publisher: Chapman and Hall/CRC (edition 1)
• Publication Date: 1997
• Language: English
• ISBN 10: 0412070111
• ISBN 13: 9780412070112
• Binding: Hardcover
• Edition: 1.
• Condition: Very Good

About this title

Synopsis

Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with a set of "real world data," Miller's text goes beyond any specific discipline, and considers a whole variety of techniques from ANOVA to empirical Bayes methods; the jackknife, bootstrap methods; and the James-Stein estimator. This reissue of Miller's classic book has been revised by professors at Stanford University, California. As before, one of the main strengths of Beyond ANOVA is its promotion of the use of the most straightforward data analysis methods-giving students a viable option, instead of resorting to complicated and unnecessary tests. Assuming a basic background in statistics, Beyond ANOVA is written for undergraduates and graduate statistics students. Its approach will also be valued by biologists, social scientists, engineers, and anyone who may wish to handle their own data analysis.

About the Author

Rupert G. Miller Jr., University of Stanford, California, USA.