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Review
"...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
-TECHNOMETRICS, VOL. 47, 2005
Product Description
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.
* Covers latest developments in robust regression
* Covers latest improvements in ANOVA
* Includes newest rank-based methods
* Describes and illustrated easy to use software
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.
* Covers latest developments in robust regression
* Covers latest improvements in ANOVA
* Includes newest rank-based methods
* Describes and illustrated easy to use software
Inside This Book
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First Sentence
Introductory statistics courses describe methods for computing confidence intervals and testing hypotheses about means and regression parameters based on the assumption that observations are randomly sampled from normal distributions. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index
Introductory statistics courses describe methods for computing confidence intervals and testing hypotheses about means and regression parameters based on the assumption that observations are randomly sampled from normal distributions. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index
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