
Robust Statistics
The Approach Based on Influence Functions
Wiley (Publisher)
Published on 10. May 2005
Book
Paperback/Softback
502 pages
978-0-471-73577-9 (ISBN)
Description
Introducing concepts, theory, and applications, Robust Statistics is accessible to a broad audience, avoiding allusions to high-powered mathematics while emphasizing ideas, heuristics, and background. The text covers the approach based on the influence function (the effect of an outlier on an estimater, for example) and related notions such as the breakdown point. It also treats the change-of-variance function, fundamental concepts and results in the framework of estimation of a single parameter, and applications to estimation of covariance matrices and regression parameters. Robust Statistics is a leading-edge resource suitable for use both as a textbook or a reference on robust statistics for all practitioners and students.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 29 mm
Weight
805 gr
ISBN-13
978-0-471-73577-9 (9780471735779)
Schweitzer Classification
Other editions
Additional editions

Frank R. Hampel | Elvezio M. Ronchetti | Peter J. Rousseeuw
Robust Statistics
The Approach Based on Influence Functions
E-Book
09/2011
Wiley
€147.99
Available for download
Frank R. Hampel | Elvezio M. Ronchetti | Peter J. Rousseeuw
Robust Statistics
The Approach Based on Influence Functions
Book
01/1986
Wiley
€133.70
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Persons
FRANK R. HAMPEL, PhD, is Professor of Statistics in the Department of Mathematics at the Swiss Federal Institute of Technology (ETH) Zurich, Switzerland.
ELVEZIO M. RONCHETTI, PhD, is Professor of Statistics in the Department of Econometrics at the University of Geneva in Switzerland.
PETER J. ROUSSEEUW, PhD, is Professor in the Department of Mathematics and Computer Science at the University of Antwerp in Belgium.
WERNER A. STAHEL, PhD, is Professor at the Swiss Federal Institute of Technology (ETH) Zurich, Switzerland.
Author
ETH, Zurich, Switzerland
Princeton Univ.
Delft Univ. of Technology, The Netherlands
ETH, Zurich, Switzerland
Content
1. Introduction and Motivation.
2. One-Dimensional Estimators.
3. One-Dimensional Tests.
4. Multidimensional Estimators.
5. Estimation of Covariance Matrices and Multivariate Location.
6. Linear Models: Robust Estimation.
7. Linear Models: Robust Testing.
8. Complements and Outlook.
References.
Index.