Title: Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)
Publisher: Academic Press
Publication Date: 1997
Language: English
ISBN 10: 0127515453
ISBN 13: 9780127515458
Binding: Hardcover
Condition: Good
Dust Jacket Condition: No Jacket
Weight: 1.3 pounds

About this title

Synopsis

Introduction to Robust Estimation and Hypothesis Testing focuses on the practical applications of modern, robust statistical methods. The increased accuracy and power of modern methods is remarkable compared tothe conventional approaches of the analysis of variance (ANOVA) and regression. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems withstandard methods that seemed insurmountable only a few years ago. This book provides a thorough, up-to-date explanation of the foundation of robust methods for beginners. It guides the reader through the basic strategies used for practical solutions to problems, and includes helpful updates which are available free of charge via an anonymous ftp site. The book also provides a brief background on the foundations of modern methods, placing the new methods in historical context.

* Covers modern, more accurate methods of statistical estimation and hypothesis testing not covered in existing books
* Provides up-to-date test results dealing with heteroscedasticity
* Software built in S-PLUS is available free of charge via an anonymous ftp site
* Guides the reader through the foundations of robust methods

About the Author

Rand R. Wilcox has a Ph.D. in psychometrics, is a professor of psychology at the University of Southern California, and a Fellow of the Royal Statistics Society and American Psychological Society. He is an internationally recognized expert in the field of Applied Statistics and has concentrated much of his research in the area of ANOVA and Regression. He has authored twobooks and more than 130 journal articles.

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