Local and global robustness of regression estimators

Abstract

We review several classes of estimators for linear regression which have simultaneously good local and global robustness properties. The global robustness of an estimator is measured by the breakdown point and the local robustness by the derivative of the maximum bias function at 0. The classes of estimators that are reviewed here are the projection estimators, one step GM-estimators and generalized τ-estimators.