Empirical Bayes Rules for Selecting Good Binomial Populations.

Abstract

This paper deals with the problem of selecting good binomial populations compared with a standard or a control through the empirical Bayes approach. Two cases have been studied: one is that the prior distribution is completely unknown and the other is that the prior distribution is symmetrical about p = 1/2, but its form is still unknown. In each case, empirical Bayes rules are derived and the rate of convergence of corresponding empirical Bayes rules is also studied.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1984
Accession Number
ADA147614

Entities

People

  • Sumedha Gupta
  • T. C. Liang

Organizations

  • Purdue University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Binomials
  • Computations
  • Convergence
  • Data Science
  • Decision Theory
  • Estimators
  • Inequalities
  • Information Science
  • Military Research
  • Observation
  • Probability
  • Random Variables
  • Sequences
  • Simulations
  • Statistical Decision Theory
  • Statistics
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Statistical inference.