Comparison of Model Misspecification Diagnostics Using Residuals from Least Mean of Squares and Least Median of Squares Fits

Abstract This article explores model misspecification diagnostics based on least squares and least median of squares fits. It shows that in some circumstances, least median of squares methods (or any other estimator with the exact fit property) fail to reveal an incorrectly specified mean function, but least squares methods succeed.