The Admissibility of a Preliminary Test Estimator When the Loss Incorporates a Complexity Cost

Abstract
Consider the problem of estimating the mean by using a random sample from a normal population. Let denote the sample mean and consider the estimator that assumes the value zero when and the value when . This is called a preliminary test estimator. For most of the usual loss functions it is inadmissible. In this article we show that for some loss functions, which include a complexity cost, the estimator is admissible. The results are related to Cohen's work on hybrid estimation and hypothesis-testing problems.

This publication has 0 references indexed in Scilit: