A performance-based assessment of robust regression methods

A number of robust regression techniques have been proposed as alternatives to least squares when outliers are present in data. No single robust technique is universally accepted as the best. Techniques exhibit strengths and weaknesses depending on the percentage of outliers present, and the location of the outliers in the regressor space. Also, robust techniques perform quite differently when no…