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Robust Regression and Outlier Detection

Wiley, J,
E-Book ( PDF mit Adobe DRM )
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The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists.
"The writing style is clear and informal, and much of thediscussion is oriented to application. In short, the book is akeeper."
-Mathematical Geology
"I would highly recommend the addition of this book to thelibraries of both students and professionals. It is a usefultextbook for the graduate student, because it emphasizes both thephilosophy and practice of robustness in regression settings, andit provides excellent examples of precise, logical proofs oftheorems.Even for those who are familiar with robustness, thebook will be a good reference because it consolidates the researchin high-breakdown affine equivariant estimators and includes anextensive bibliography in robust regression, outlier diagnostics,and related methods. The aim of this book, the authors tell us, is'to make robust regression available for everyday statisticalpractice.' Rousseeuw and Leroy have included all of thenecessary ingredients to make this happen."
-Journal of the American Statistical Association


Titel: Robust Regression and Outlier Detection
Autoren/Herausgeber: Peter J. Rousseeuw, Annick M. Leroy
Aus der Reihe: Wiley Series in Probability and Statistics
Ausgabe: 1. Auflage

ISBN/EAN: 9780471725374

Seitenzahl: 330
Produktform: E-Book
Sprache: Englisch - Newsletter
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