
Robust Regression and Outlier Detection
Wiley (Publisher)
Published on 2. November 1987
Book
Hardback
352 pages
978-0-471-85233-9 (ISBN)
Article exhausted; check different version
Description
Provides an applications-oriented introduction to robust regression and outlier detection, emphasising -high-breakdown- methods which can cope with a sizeable fraction of contamination. Its self-contained treatment allows readers to skip the mathematical material which is concentrated in a few sections. Exposition focuses on the least median of squares technique, which is intuitive and easy to use, and many real-data examples are given. Chapter coverage includes robust multiple regression, the special case of one-dimensional location, algorithms, outlier diagnostics, and robustness in related fields, such as the estimation of multivariate location and covariance matrices, and time series analysis.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Ill.
Dimensions
Height: 236 mm
Width: 159 mm
Weight
567 gr
ISBN-13
978-0-471-85233-9 (9780471852339)
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Schweitzer Classification
Other editions
Additional editions

Peter J. Rousseeuw | Annick M. Leroy
Robust Regression and Outlier Detection
E-Book
02/2005
Wiley
€135.99
Available for download

Peter J. Rousseeuw | Annick M. Leroy
Robust Regression and Outlier Detection
Book
09/2003
Wiley
€163.50
Shipment within 10-20 days
Content
Simple Regression. Multiple Regression. The Special Case of One--Dimensional Location. Algorithms. Outlier Diagnostics. Related Statistical Techniques. References. Index.