Large Sample Comparison of Tests and Empirical Bayes Procedures.

Abstract

The authors explain the use of large sample theory in comparing families of test statistics, tracing the use of increasingly powerful mathematics and the establishment of the asymptotic optimality of likelihood ratio tests during the past generation. Robbins' empirical Bayes model is then presented and discussed in comparison with structural parameter models as well as standard Bayesian models. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1974
Accession Number
AD0784914

Entities

People

  • D. S. Moore
  • J. C. Kiefer

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Bayesian Networks
  • Computing-Related Activities
  • Data Science
  • Demographic Cohorts
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Models
  • Numerical Analysis
  • Probability
  • Standards
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference