An estimation technique which is insensitive to small departures from the idealized assumptions which have been used to optimize the algorithm. Classes of such techniques include M-estimates (which follow from maximum likelihood considerations), L-Estimates (which are linear combinations of order statistics), and R-Estimates (based on statistical rank tests).

L-estimate | M-estimate | R-estimate