A Bayesian Approach to Determining the Sample Size for Maintainability Demonstration.

Abstract

The Bayesian statistics approach incorporates subjective elements of judgment and experience into analytic decision processes. Maintainability programs and demonstration plans contain many such elements and are adaptable to this approach. Using approximate cost functions, a model based on the expected value of sample information is developed to determine the optimal number of tasks (n sub b) to be worked for maintainability demonstration. Two other methods of determining sample sizes are presented--that currently used by Aeronautical Systems Division (n sub a), and a decision theoretic (minimax) approach (n sub m). The methods are compared and analyzed. N sub b gives smaller sample sizes than (n sub m). (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1969
Accession Number
AD0857547

Entities

People

  • Edward Lee Ibbotson
  • Paul Sterling Britt

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Bayesian Networks
  • Computing-Related Activities
  • Data Science
  • Demonstrations
  • Information Science
  • Interdisciplinary Science
  • Judgment
  • Maintainability
  • Mathematics
  • Models
  • Statistical Analysis
  • Statistics

Readers

  • Life Cycle Cost Analysis
  • Regression Analysis.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference