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Introduction to Robust Estimation and Hypothesis Testing Rand R. Wilcox (University of Southern California, USA)

Introduction to Robust Estimation and Hypothesis Testing By Rand R. Wilcox (University of Southern California, USA)

Introduction to Robust Estimation and Hypothesis Testing by Rand R. Wilcox (University of Southern California, USA)

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Summary

Provides an explanation of the foundation of robust methods, incorporating the updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. This title guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems.

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Introduction to Robust Estimation and Hypothesis Testing Summary

Introduction to Robust Estimation and Hypothesis Testing by Rand R. Wilcox (University of Southern California, USA)

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.

Introduction to Robust Estimation and Hypothesis Testing 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, 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.

About Rand R. Wilcox (University of Southern California, USA)

Rand R. Wilcox has a Ph.D. in psychometrics, and is a professor of psychology at the University of Southern California. Wilcox's main research interests are statistical methods, particularly robust methods for comparing groups and studying associations. He also collaborates with researchers in occupational therapy, gerontology, biology, education and psychology. Wilcox 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. Wilcox is the author of 12 books on statistics and has published many papers on robust methods. He is currently an Associate Editor for four statistics journals and has served on many editorial boards. He has given numerous invited talks and workshops on robust methods.

Table of Contents

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

Additional information

CIN0123869838VG
9780123869838
0123869838
Introduction to Robust Estimation and Hypothesis Testing by Rand R. Wilcox (University of Southern California, USA)
Rand R. Wilcox (University of Southern California, USA)
Statistical Modeling and Decision Science
Used - Very Good
Hardback
Elsevier Science Publishing Co Inc
20120215
608
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Introduction to Robust Estimation and Hypothesis Testing