Beyond ANOVA: Basics of Applied Statistics: 40 (Chapman & Hall/CRC Texts in Statistical Science)

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

ISBN 10: 0412070111 / ISBN 13: 9780412070112

Published by Chapman and Hall/CRC 1997-01-01, 1997

About this Item

Seller Inventory # 6666-TNFPD-9780412070112

Bibliographic Details

• Title: Beyond ANOVA: Basics of Applied Statistics: 40 (Chapman & Hall/CRC Texts in Statistical Science)
• Publisher: Chapman and Hall/CRC 1997-01-01
• Publication Date: 1997
• Language: English
• ISBN 10: 0412070111
• ISBN 13: 9780412070112
• Binding: Hardcover
• Condition: New

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.