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Book
Author Miller, Rupert G.

Title Beyond ANOVA : basics of applied statistics / Rupert G. Miller, Jr
Edition First edition / [prepared by Byron Wm. Brown, Jr. ... et al.]
Published London ; New York : Chapman & Hall, 1997

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Location Call no. Vol. Availability
 MELB  519.5 Mil/Bab  AVAILABLE
Description xviii, 317 pages : illustrations ; 24 cm
Series Chapman & Hall texts in statistical science series
Texts in statistical science.
Contents 1. One Sample -- 2. Two Samples -- 3. One-Way Classification -- 4. Two-Way Classification -- 5. Regression -- 6. Ratios -- 7. Variances
Summary Beyond ANOVA sets out to show students how to work with a set of 'real world' data; it goes beyond any specific discipline, and considers a whole variety of techniques from ANOVA to empirical Bayes methods, the jacknife, bootstrap methods and the James-Stein estimator. One of the main strengths of the text is that it promotes the use of the most straightforward data analysis methods, rather than resorting to complicated and unnecessary tests. Assuming a basic background in statistics, the book is written for undergraduates and graduate statistics students, but will also be valued by biologists, social scientists, engineers and anyone who may wish to handle their own data analysis
Notes First published: New York : Wiley, c1986
Bibliography Includes bibliographical references (pages [279]-307) and indexes
Subject Mathematical statistics.
Author Brown, Byron Wm., Jr.
LC no. 96086107
ISBN 0412070111