Optimum Markov replacement policies for using the most reliable components

DOI10.1016/0378-3758(94)00085-AzbMath0821.62066OpenAlexW1994719331MaRDI QIDQ1895364

Dylan Shi, Klaus J. Miescke

Publication date: 5 October 1995

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(94)00085-a

zbMATH Keywords

absorbing Markov chainbirth and death processoptimum replacement policiesindependent exponentially distributed failure timeslook-ahead-one-failure Bayes rulestype selections for replacements

Mathematics Subject Classification ID

Bayesian inference (62F15) Reliability, availability, maintenance, inspection in operations research (90B25) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Reliability and life testing (62N05)

Cites Work

• Statistical decision theory and Bayesian analysis. 2nd ed
• Optimum replacement policies for using the most reliable components
• Selection from Poisson processes
• A Bayes solution for the problem of ranking Poisson parameters
• A Problem of Ranking and Estimation with Poisson Processes
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