Monte Carlo models for estimating reliability: an exploratory analysis.
ResearchPublished 1958
ResearchPublished 1958
An analysis of the problem of a priori reliability estimating by means of the Monte Carlo method. The Monte Carlo model considered is used to predict system malfunctions that do not occur through component failure but occur because the entire system performs outside the bounds set by its specifications. It uses the stochastic properties of component performance to evaluate system output. The study demonstrates the usefulness of the method, the validity of the results, the unbiased nature of derived estimates, and the requirements for input data
This publication is part of the RAND research memorandum series. The research memorandum series, a product of RAND from 1948 to 1973, included working papers meant to report current results of RAND research to appropriate audiences.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.