FINITE-SAMPLE OPTIMALITY OF EXTREMES AND MIDRANGE

Consider estimation of the location of the center of a uniform distrib ution by a translation equivariant estimator. It is shown that for a b road class of loss functions and for each sample size the sample mid-r ange is an optimal estimator. Similarly, the sample minimum is optimal in estimating the start of a nonincreasing density.