Degradation modeling with subpopulation heterogeneities based on the inverse Gaussian process

DOI10.1016/j.apm.2019.12.017zbMath1481.62100OpenAlexW2997167814MaRDI QIDQ821647

Jiawen Hu, Ancha Xu, Ping-Ping Wang

Publication date: 21 September 2021

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

Full work available at URL: https://doi.org/10.1016/j.apm.2019.12.017

zbMATH Keywords

EM algorithmrandom effectsinverse Gaussian processdegradation modelmixture normal distribution

Mathematics Subject Classification ID

Applications of renewal theory (reliability, demand theory, etc.) (60K10) Reliability and life testing (62N05)

Related Items (3)

Probabilistic and cost analyses of a renewable warranty with an inspection policy for a discrete operating item from a heterogeneous population ⋮ Inverse Gaussian process based reliability analysis for constant-stress accelerated degradation data ⋮ Fiducial inference-based failure mechanism consistency analysis for accelerated life and degradation tests

Uses Software

• glmmAK
• bootstrap
• SPLIDA

Cites Work

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• Computational and Inferential Difficulties with Mixture Posterior Distributions
• Bayesian analysis of series system with dependent causes of failure
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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