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The Partial Robust M-approach

Authors :
Sven Serneels
Pierre J. Van Espen
Christophe Croux
Peter Filzmoser
Source :
From Data and Information Analysis to Knowledge Engineering ISBN: 9783540313137, 29th Annual Conference of the German Classification Society, March 9-11, 2005, Otto Guericke University Magdeburg, Magdeburg, Germany
Publication Year :
2006
Publisher :
Springer Berlin Heidelberg, 2006.

Abstract

The PLS approach is a widely used technique to estimate path models relating various blocks of variables measured from the same population. It is frequently applied in the social sciences and in economics. In this type of applications, deviations from normality and outliers may occur, leading to an efficiency loss or even biased results. In the current paper, a robust path model estimation technique is being proposed, the partial robust M (PRM) approach. In an example its benefits are illustrated.

Details

ISBN :
978-3-540-31313-7
ISBNs :
9783540313137
Database :
OpenAIRE
Journal :
From Data and Information Analysis to Knowledge Engineering ISBN: 9783540313137, 29th Annual Conference of the German Classification Society, March 9-11, 2005, Otto Guericke University Magdeburg, Magdeburg, Germany
Accession number :
edsair.doi.dedup.....e823896b873ee2d211d2c843156ebce4