Maximum likelihood and bayes prediction of current system lifetime

DOI10.1080/03610929608831839zbMath0887.62098OpenAlexW2098145964MaRDI QIDQ3125756

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Publication date: 10 November 1997

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929608831839

zbMATH Keywords

Bayes predictionnon-homogeneous Poisson processmaximum likelihood predictioncurrent system lifetimes

Mathematics Subject Classification ID

Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items (1)

Prediction in trend-renewal processes for repairable systems

Cites Work

• Bayes inference for a non-homogeneous Poisson process with power intensity law (reliability)
• Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth
• Inferences on the Parameters and Current System Reliability for a Time Truncated Weibull Process
• A Quasi-Bayes Estimate of the Failure Intensity of a Reliability-Growth Model
• Confidence Bounds on the Parameters of the Weibull Process
• Some Results on Inference for the Weibull Process
• A Bayes procedure for estimation of current system reliability

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