Variable selection criteria in robust regression

Abstract

In linear regression, outliers and leverage points often have a large in-fluence on 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 outliers and possible departures from the normality assumption of the error distribution in robust regression analysis.