On Bayes and Empirical Bayes Rules for Selecting Good Populations.

Abstract

This paper deals with the problems of selecting all populations which are close to a control or standard. A general Bayes rule for the above problem is derived. Empirical Bayes rules are derived when the populations are assumed to be uniformly distributed. Under some conditions on the marginal and prior distributions, the rate of convergence of the empirical Bayes risk to the minimum Bayes risk is investigated. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA133336

Entities

People

  • Lii-yuh Leu
  • Shanti Gupta

Organizations

  • Purdue University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Convergence
  • Governments
  • Inequalities
  • Military Research
  • Probability
  • Probability Density Functions
  • Random Variables
  • Real Numbers
  • Sequences
  • Statistics
  • United States
  • United States Government
  • Universities

Fields of Study

  • Mathematics

Readers

  • Statistical inference.