ON CONFIDENCE LIMITS FOR THE RELIABILITY OF SYSTEMS,

Abstract

An application of the asymptotic Chi-square distribution of the log-likelihood ratio is made to obtain approximate confidence intervals (or interval estimates) for the reliability of any structure of the class of structures which can be represented by a monotone Boolean function of Bernoulli variates. This is for the case when the data available consists of a number of Bernoulli trials for the performance or non-performance of the components. Some special methods are obtained for a subclass of structures which contain those which fail if, and only if, a certain prescribed number of their components fail. This generalizes the results of A. Madansky (AD-609 429) for series, parallel and series-parallel systems. Computational procedures are given and some numerical studies are reported which assess how accurate the confidence intervals are as a function of the sample size. Some comparisons are made with exact results in the cases where they are known. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1965
Accession Number
AD0627305

Entities

People

  • Janet Myhre
  • San C. Saunders

Organizations

  • Boeing

Tags

DTIC Thesaurus Topics

  • Confidence Limits
  • Data Science
  • Information Science
  • Intervals
  • Mathematical Analysis
  • Mathematics
  • Reliability

Fields of Study

  • Mathematics

Readers

  • Graph Algorithms and Convex Optimization.
  • Statistical inference.