An Application of Bayesian Analysis in Determining Appropriate Sample Sizes for Use in U.S. Army Operational Tests

Abstract

The research is devoted to modifying the Bayesian techniques associated with determining the minimum sample size required to construct interval estimates of the true mean of an experimental or sampling process which is modeled by a normal distribution with unknown parameters. The procedure considers only the case where the prior information can be represented by a normal distribution with known mean and known variance.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1975
Accession Number
ADA024144

Entities

People

  • Robert L. Cordova

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Bayes Theorem
  • Command And Control
  • Computational Science
  • Data Science
  • Engineering
  • Information Science
  • Mathematics
  • Normality
  • Operations Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Statistical Algorithms
  • Statistics
  • Test And Evaluation
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference