Accession Number : AD0617606

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

Corporate Author : RAND CORP SANTA MONICA CALIF

Personal Author(s) : Press,S. James

Report Date : JUN 1965

Pagination or Media Count : 45

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)

Descriptors :   (*STATISTICAL PROCESSES, LOGISTICS), (*LOGISTICS, STATISTICAL PROCESSES), STATISTICAL ANALYSIS, RELIABILITY, MAINTENANCE, PROBABILITY, OPERATIONS RESEARCH

Distribution Statement : APPROVED FOR PUBLIC RELEASE