Journal ArticleDOI
Mathematical methods in reliability engineering
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This article is published in American Mathematical Monthly.The article was published on 1966-03-01. It has received 30 citations till now. The article focuses on the topics: Reliability (statistics) & Intra-rater reliability.read more
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Book ChapterDOI
Confidence Intervals vs Bayesian Intervals
E. T. Jaynes,Oscar Kempthorne +1 more
TL;DR: For many years, statistics textbooks have followed this canonical procedure: (1) the reader is warned not to use the discredited methods of Bayes and Laplace, (2) an orthodox method is extolled as superior and applied to a few simple problems, (3) the corresponding Bayesian solutions are not worked out or described in any way as discussed by the authors.
Journal ArticleDOI
A time-dependent methodology for fault tree evaluation
TL;DR: In this paper, a methodology is developed by which exact and detailed probabilistic information is obtained for any fault tree, which is believed to be a major advancement in reliability and safety analysis and is expected to have far-reaching ramifications.
Journal ArticleDOI
Reliability analysis : Optimal inspection and maintenance schedules of failing systems
TL;DR: A review of the literature related to optimal inspection and maintenance schedules of failing systems can be found in this article, where the authors present a state-of-the-art review.
Journal ArticleDOI
Systems with two dual failure modes — A survey
TL;DR: A survey of the research done on reliability of systems exhibiting two dual modes of failure, which are often called open and short, is given in this article, where the authors discuss different terminology and approaches that appear in the literature and cover results concerning mainly the following topics: the optimal structure of the system, the optimal allocation of units, Markov and semi-Markov models of systems with repairable units and investigation of the structures of particular importance.
Journal ArticleDOI
GERT, A Useful Technique for Analyzing Reliability Problems
TL;DR: Stochastic networks and GERT, in particular, are used to analyze Reliability Problems because of the flexibility of the logical nodes available in GERT and the ability to model complex reliability problems.