Accession Number : AD0725568

Title :   Sampling for Reliability Assessment Using Weighted Prior Data.

Descriptive Note : Technical memo.,

Corporate Author : PICATINNY ARSENAL DOVER N J

Personal Author(s) : Mardo,John G. ; Schneider,Jeffrey P.

Report Date : JAN 1971

Pagination or Media Count : 23

Abstract : The report presents the details of a procedure for determining a sample size, n, from a population of complex systems for reliability assessment when it is planned to combine the new data with past experimental or subjective information. The method assumes a Bayesian rationale where the parameter of interest, reliability, is assumed to be a random variable. The criterion for choice is that the sample size be sufficiently large to yield a posterior distribution for reliability with a specified minimum mode and lower 100 (1-alpha)% confidence limit for a specified alpha when it is assumed that no failures will occur. The mechanism for data combination employs 'weighting factors' defined as a function of the parameters of the prior distribution and likelihood function. (Author)

Descriptors :   (*RELIABILITY, *STATISTICAL ANALYSIS), MATHEMATICAL PREDICTION, CONFIDENCE LIMITS, RANDOM VARIABLES, SAMPLING, PROBABILITY, SUBROUTINES

Subject Categories : Statistics and Probability
      Mfg & Industrial Eng & Control of Product Sys

Distribution Statement : APPROVED FOR PUBLIC RELEASE