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<img src='content_image/322892.jpg'>

6 compares the sorted absolute values of the (univariate) residuals of the MLE with those of the MM-estimate for each response. We can see that the majority of the residuals corresponding to the MM-estimate are smaller than those of the MLE. 

To understand why the MLE’s norms are in general smaller than the MM- estimate’s norms, while the respective residuals are in general smaller, we show in Table 4 the estimates given by the MLE and MM-estimate of the dispersion matrix of the errors. It is seen that the former is “much larger” than the latter, in that its two diagonal elements are respectively six and four times those of the latter. 

To complete the description of the estimates’ fit, Figure 7 shows the absolute values of the coordinates of the bidimensional residual vectors, in the right panel (corresponding to residuals of the MM-estimate) is truncated to the size of the left panel (corresponding to residuals of the MLE), and consequently a 10% of the absolute residuals of the MM-estimate is not shown. It is seen that, while the residuals from MM have a larger range than those from the MLE, they are in 

