The transformed inverse Gaussian process as an age- and state-dependent degradation model

DOI10.1016/j.apm.2019.07.004zbMath1481.62094OpenAlexW2953792091WikidataQ127552199 ScholiaQ127552199MaRDI QIDQ1985162

Lijuan Shen, Weiwen Peng, Shun-Peng Zhu

Publication date: 7 April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.07.004

zbMATH Keywords

random effectsinverse Gaussian processexplanatory variablesdegradation modelBayesian reliability

Mathematics Subject Classification ID

Gaussian processes (60G15) Bayesian inference (62F15) Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05)

Uses Software

• CODA
• BUGS
• JAGS
• Stan

Cites Work

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• Objective Bayesian analysis accelerated degradation test based on Wiener process models
• A review of accelerated test models
• Estimating failure time distribution and its parameters based on intermediate data from a Wiener degradation model
• Bayes Factors
• Uncertain Judgements: Eliciting Experts' Probabilities

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