Communication in Statistics- Theory and Methods · 2010 · 35 citations · 13 references
EngineeringSystems EngineeringFault-tolerant SystemsMaintenance EngineeringSafety EngineeringFailure TheoriesReliabilityReliability ModelingReliable System DesignStress AnalysisFailure ModelsMaximum Likelihood EstimatorMultistate Reliability ModelsState Transition ProbabilitiesSystem Reliability AnalysisSystem Reliability AssessmentSystem Reliability ModelingSystem State Analysis
The two most commonly used reliability models in engineering applications are binary k-out-of-n:G and consecutive k-out-of-n:G systems. Multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G systems have been proposed as an extension of these systems and they have been found to be more flexible tool for modeling engineering systems. In this article, multi-state systems, in particular, multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G, are considered in a stress-strength setup. The states of the system are classified considering the number of components whose strengths above (below) the multiple stresses available in an environment. The exact state probabilities are provided and the results are illustrated for various stress-strength distributions. Maximum likelihood estimators of state probabilities are also presented.
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Multivariate Pareto Distributions
K. V. Mardia · The Annals of Mathematical Statistics · 1962 · 187 citations · Full text