A Comparison of Classical and Bayesian Methods for Determining Lower Confidence Limits on System Reliability.

Abstract

A series system is simulated to obtain lower confidence limits on system reliability using Bayesian techniques. A comparison between classical and Bayesian methods is made. Random beta variate generators are developed and used in the simulation. The results of the simulation are tabulated for easy comparison of the Bayesian and classical methods. The values of lower confidence limits that are realized using the Bayesian method decrease as the number of components increase. In most cases, as the number of components increase, the Bayesian method appears to yield lower values of lower confidence limits than the classical method.

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1972
Accession Number
AD0753585

Entities

People

  • Gary Lee Kirk

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Confidence Limits
  • Data Science
  • Generators
  • Information Science
  • Reliability
  • Simulations

Readers

  • Regression Analysis.

Technology Areas

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