Simultaneous Estimation After Selection and Ranking and Other Procedures: The Negative Exponential Case.
Subset selection of the largest location parameter based on -estimates
The problem of selecting a subset of polulations containing the population with the largest location parameter is considered. As a generalization of selection rules based on sample means and on sample medians, a rule based on -estimates of location is proposed. This rule is strongly monotone and minimax, the risk being the expected subset size, provided the underlying density has monotone likelihood ratio. The problem of fulfilling the -condition is solved explicitly only asymptotically, under...