Accession Number : ADA117611

Title :   NOMBAS - A Bayesian Procedure for Selecting the Greatest Mean.

Descriptive Note : Technical rept.,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s) : Washburn,Alan R

PDF Url : ADA117611

Report Date : Jun 1982

Pagination or Media Count : 24

Abstract : NOMBAS is an acronym for NOrmal Myopic Bayes Sequential, and is the name of a Bayesian procedure for selecting the category with the greatest mean. This paper describes NOMBAS in detail and then compares it with other procedures on the basis of Bayes risk versus average sample number. (Author)

Descriptors :   *Mean, *Bayes theorem, *Performance tests, Sequential analysis, Ranking, Selection, Experimental data, Comparison, Random variables, Value, Normal distribution, Exponential functions

Subject Categories : Statistics and Probability
      Test Facilities, Equipment and Methods

Distribution Statement : APPROVED FOR PUBLIC RELEASE