NOMBAS - A Bayesian Procedure for Selecting the Greatest Mean.

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)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA117611

Entities

People

  • Alan R. Washburn

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Aircraft Design
  • Computer Programs
  • Computer Simulations
  • Computers
  • Engineering
  • Industrial Engineering
  • Military Research
  • Monte Carlo Method
  • North Carolina
  • Observation
  • Operations Research
  • Probability
  • Random Number Generators
  • Random Variables
  • Simulations
  • Statistics
  • Universities

Fields of Study

  • Mathematics

Readers

  • Educational Psychology
  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference