Dear all, In my field (chemical engineering) it is accepted in the literature that comparing regression M-estimators *must* be done for the same value of asymptotic efficiency. However let us assume that for a particular instance of a problem and for some performance criterion: - M-estimator A reaches the highest performance at 95% efficiency, and - M-estimator B has the best performance at 80% efficiency. I do not see any sense in comparing *both* the estimators at 80% or 95%. Also, for some estimators of different kind, comparing at the same value of efficiency would be impossible, for instance, an M-estimator and LMS both at 95%. Am I missing something here? Is there any theorem stating that different M-estimators reach the best performance for the same asymptotic efficiency in the same problem with the same performance criterion? I would appreciate any comments that you may have. Eduardo Conceicao Sincerely
[RsR] Comparing M-estimators requires the same value of efficiency?
1 message · Eduardo Conceicao