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A Review of Robust Regression and Diagnostic Procedures in Linear Regression

A Review of Robust Regression and Diagnostic Procedures in Linear Regression The concern over outliers is old since Bernoulli (see [12]), reviewed historically by [11] and updated with [10] in their encyclopedia textbook. James et al.[46] used simulation technique to compare some recent published outlier detection procedures. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

A Review of Robust Regression and Diagnostic Procedures in Linear Regression

Acta Mathematicae Applicatae Sinica , Volume 21 (2) – Jan 1, 2005

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Publisher
Springer Journals
Copyright
Copyright © 2005 by Springer-Verlag Berlin Heidelberg
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/s10255-005-0230-2
Publisher site
See Article on Publisher Site

Abstract

The concern over outliers is old since Bernoulli (see [12]), reviewed historically by [11] and updated with [10] in their encyclopedia textbook. James et al.[46] used simulation technique to compare some recent published outlier detection procedures.

Journal

Acta Mathematicae Applicatae SinicaSpringer Journals

Published: Jan 1, 2005

References