STATISTICAL ESTIMATION BY THE EMPIRICAL BAYES METHOD: SOME EXTENSIONS AND LOGISTICAL APPLICATIONS,

Abstract

This report contains a presentation of the empirical Bayes procedure for improving existing methods of estimating statistical decision parameters which occur in such logistical problems as reliability, maintenance, and supply. It consists essentially of estimating a parameter by using an approximate Bayes estimator that does not depend on any previous information, other than earlier observations. The author presents estimators for the univariate and multivariate exponential family of distributions, for distributions with nuisance parameters, and for the distribution of a family of random variables (Poisson process). (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1965
Accession Number
AD0617606

Entities

People

  • S. James Press

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Data Science
  • Estimators
  • Information Science
  • Maintenance
  • Mathematics
  • Observation
  • Random Variables
  • Reliability
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Estimation

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.