Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition

Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition,Rand Wilcox,ISBN9780123869838


Academic Press




235 X 191

Contains basics and most recent advances

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Key Features

* Covers latest developments in robust regression
* Covers latest improvements in ANOVA
* Includes newest rank-based methods
* Describes and illustrated easy to use software


This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations.

Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables.


Advanced graduate students interested in applying cutting-edge methods for analyzing data. Also, any applied researcher who uses ANOVA or regression will benefit. A typical course would be Quantitative Methods found in Mathematics, Economics, Health and Biological Sciences and Psychology departments.

Rand Wilcox

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.

Affiliations and Expertise

University of Southern California

View additional works by Rand R. Wilcox

Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition

Preface, 1. Introduction; 2. A Foundation for Robust Methods; 3. Estimating Measures of Location and Scale; 4. Confidence Intervals in the One-Sample Case; 5. Comparing Two Groups; 6. Some Multivariate Methods; 7. One-Way and Higher Designs for Independent Groups; 8. Comparing Multiple Dependent Groups; 9. Correlation and Tests of Independence; 10. Robust Regression; 11. More Regression Methods

Quotes and reviews

"...Wilcox has greatly enhanced this book, which is now almost twice as large as the first edition. This would now seem to be a good book for everyone to have in their library."-TECHNOMETRICS, VOL. 47, 2005

"This text focuses on applied aspects of major modern and robust statistical methods. Early chapters explain the aims and mathematical foundations of modern methods. The heart of the book describes methods for addressing common problems in ANOVA and regression, with a minimum of technical details, and judges their merits using multiple criteria, giving advice on which ones to use for various situations. Chapter exercises are included. The book assumes a previous introductory statistics course and background on basics of ANOVA, hypothesis testing, and regression. For this third edition, S-PLUS functions are no longer supported. Instead, R functions are supplied."--Reference and Research Book News, Inc.


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