Peter J. Rousseeuw & Annick M. Leroy 
Robust Regression and Outlier Detection [PDF ebook] 

Ondersteuning

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‘The writing style is clear and informal, and much of the
discussion is oriented to application. In short, the book is a
keeper.’
-Mathematical Geology
‘I would highly recommend the addition of this book to the
libraries of both students and professionals. It is a useful
textbook for the graduate student, because it emphasizes both the
philosophy and practice of robustness in regression settings, and
it provides excellent examples of precise, logical proofs of
theorems. . . .Even for those who are familiar with robustness, the
book will be a good reference because it consolidates the research
in high-breakdown affine equivariant estimators and includes an
extensive 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 statistical
practice.’ Rousseeuw and Leroy have included all of the
necessary ingredients to make this happen.’
-Journal of the American Statistical Association

€135.99
Betalingsmethoden

Inhoudsopgave

1. Introduction.
2. Simple Regression.
3. Multiple Regression.
4. The Special Case of One-Dimensional Location.
5. Algorithms.
6. Outlier Diagnostics.
7. Related Statistical Techniques.
References.
Table of Data Sets.
Index.

Over de auteur

Peter J. Rousseeuw, Ph D, is currently a Professor at the University of Antwerp in Belgium. He received his Ph D in Statistics in 1981. His research interests include the influence function approach to robust statistics and cluster analysis.
Annick M. Leroy is affiliated with Vrije University in Brussels, Belgium.

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Taal Engels ● Formaat PDF ● Pagina’s 360 ● ISBN 9780471725374 ● Bestandsgrootte 16.0 MB ● Uitgeverij John Wiley & Sons ● Gepubliceerd 2005 ● Editie 1 ● Downloadbare 24 maanden ● Valuta EUR ● ID 2329106 ● Kopieerbeveiliging Adobe DRM
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