Bayes Sampling Procedure for the Determination of Fixed Size Samples from Infinite and Finite Populations,

Abstract

The paper examines Bayes sampling procedures for determining fixed sample sizes from infinite and finite populations. Results of this examination reveal that: (1) Optimal Bayesian sampling can result in a substantial cost savings provided that accurate assessments of the relative system costs are made. (2) Traditional methods of sampling from distributions formed using subjective information are promising but further mathematical analysis is needed. (3) An extensive-form Bayesian method of optimal Bernoulli sampling is used on an actual surveillance problem at NAD Crane. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1971
Accession Number
AD0724293

Entities

People

  • Larry J. Massa

Tags

DTIC Thesaurus Topics

  • Mathematical Analysis
  • Sampling
  • Surveillance

Fields of Study

  • Mathematics

Readers

  • Game Theory.
  • Life Cycle Cost Analysis
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms