Institute of Mathematical Statistics Lecture Notes - Monograph Series

A note on the $U, V$ method of estimation

Arthur Cohen, Harold Sackrowitz

Abstract

The $U, V$ method of estimation provides unbiased estimators or predictors of random quantities. The method was introduced by Robbins and subsequently studied in a series of papers by Robbins and Zhang. (See Zhang). Practical applications of the method are featured in these papers. We demonstrate that for one $U$ function (one for which there is an important application) the $V$ estimator is inadmissible for a wide class of loss functions. For another important $U$ function the $V$ estimator is admissible for the squared error loss function.

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Primary Subjects: 62C15
Secondary Subjects: 62F15
Keywords: admissibility; unbiased estimators; asymptotic efficiency
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.lnms/1196794951
Digital Object Identifier: doi:10.1214/074921707000000139

2012 © Institute of Mathematical Statistics

Institute of Mathematical Statistics Lecture Notes - Monograph Series

Institute of Mathematical Statistics Lecture Notes - Monograph Series