Robust Regression and Outlier Detection   (eBook - Adobe PDF) (eBook)


Peter J Rousseeuw


Annick M Leroy

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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.

eBook Details

Title: Robust Regression and Outlier Detection
Publisher: John Wiley & Sons
Author: Peter J Rousseeuw, Annick M Leroy
Edition: Ebook , PDF
Language: English




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The book Robust Regression and Outlier Detection: ROBUST REGRESSION & OUTLIER DE by Peter J Rousseeuw, Annick M Leroy (author) is published or distributed by John Wiley & Sons [0471725374-BEPDF, 9780471725374-BEPDF]. This particular edition was published on or around 2005-2-1 date. Robust Regression and Outlier Detection: ROBUST REGRESSION & OUTLIER DE is available for use in eBook binding. This book by Peter J Rousseeuw, Annick M Leroy is written in English language.
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