Selection of Prior Distributions for Bayesian Reliability Assessment

Abstract

A necessary part of the Bayesian method is the choice of the prior distribution. In reliability assessment it is often desirable to obtain prior distributions for the components of a system which give a uniform prior distribution for the whole system when a moment-matching technique is used. There are an infinite number of choices, but it can be proved that component prior distributions can always be chosen to fall within a certain range, and still give the desired system outcome provided the desired system prior distribution is well behaved. Results are obtained by considering the case for a system composed of two independent components in series, a system composed of two independent components in parallel, and the more general system composed of a combination of the preceding two. (Modified author abstract)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1973
Accession Number
AD0762525

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  • Don R. Halverson

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  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Facilities
  • Boundaries
  • Commerce
  • Equations
  • Inequalities
  • Intervals
  • Reliability

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  • Regression Analysis.
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Technology Areas

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