Minimum distance estimators in extreme value distributions

We define minimum distance estimators for the parameters of the extreme value distribution Go based on the Cramer-von-Mises distance. These estimators are rather robust and consistent, but asymptotically less efficient than the maximum likelihood estimators which are not robust. A small simulation study for finite sample size show that under Go the finite efficiency of the minimum distance estimators is rather similar to the maximum likelihood ones.