Robust model selection criteria for robust Liu estimator
In linear regression analysis, outliers often have large influence in the model/variable selection process. The aim of this study is to select the subsets of independent variables which explain dependent variables in the presence of multicollinearity, outliers and possible departures from the normality assumption of the error distribution in robust regression analysis. In this study to overcome this combined problem of multicollinearity and outliers, we suggest to use robust selection criterion with Liu and Liu-type M(LM) estimators.
Year of publication: |
2009
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Authors: | Çetin, Meral |
Published in: |
European Journal of Operational Research. - Elsevier, ISSN 0377-2217. - Vol. 199.2009, 1, p. 21-24
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Publisher: |
Elsevier |
Keywords: | Liu-estimator Robust-Liu estimator M-estimator Robust Cp Robust Tp Robust model selection |
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