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 |
|