Accession Number:

AD0762525

Title:

Selection of Prior Distributions for Bayesian Reliability Assessment

Descriptive Note:

Final rept.

Corporate Author:

SAN ANTONIO AIR MATERIEL AREA KELLY AFB TX DIRECTORATE OF SPECIAL WEAPONS

Personal Author(s):

Report Date:

1973-05-01

Pagination or Media Count:

21.0

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

Subject Categories:

  • Statistics and Probability
  • Manufacturing and Industrial Engineering and Control of Production Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE