ACCOUNTING FOR MODEL UNCERTAINTY IN RELIABILITY ANALYSIS OF MECHANICAL REPAIRABLE EQUIPMENT
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Publication:4449031
DOI10.1081/STA-120003656zbMath1075.62642MaRDI QIDQ4449031
Publication date: 4 February 2004
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Bayes factorComposite estimate and predictionNon-homogeneous Poisson processesReliability deteriorationRepairable equipment
Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
Cites Work
- Bayesian inference for the power law process
- A Point-Process Model Incorporating Renewals and Time Trends, with Application to Repairable Systems
- Bayes inference for a non-homogeneous Poisson process with power intensity law (reliability)
- Goodness-of-fit tests for the power-law process
- A natural conjugate prior for the nonhomogeneous poisson process with an exponential intensity function
- Inference and Predictions from Poisson Point Processes Incorporating Expert Knowledge
- Bayes Factors
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