Robutst Estimation and Hypothesis Testing

Rand R. Wilcox

590 pages, parution le 07/02/2005 (2^eme édition)

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Résumé

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.

Audience : 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.

L'auteur - Rand R. Wilcox

Rand Wilcox , University of Southern California

Sommaire

Introduction
A Foundation for Robust Methods
Estimating Measures of Location and Scale
Confidence Intervals in the One-Sample Case
Comparing Two Groups
Some Multivariate Methods
One-Way and Higher Designs for Independent Groups
Comparing Multiple Dependent Groups
Correlation and Tests of Independence
Robust Regression
More Regression Methods

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Elsevier, Academic Press
Auteur(s)	Rand R. Wilcox
Parution	07/02/2005
Édition	2^eme édition
Nb. de pages	590
Format	15,5 x 23,5
Couverture	Relié
Poids	890g
Intérieur	Noir et Blanc
EAN13	9780127515427
ISBN13	978-0-12-751542-7