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Robust regression estimators are known to perform well in the presence of outliers. Although theoretical properties of these estimators have been derived, there is always a need for empirical results to assist their implementation in practical situations. A simulation study of four robust alternatives to the least-squares method is presented within a set of error-distributions which includes many...