A new inherent reliability modeling and analysis method based on imprecise Dirichlet model for machine tool spindle

DOI10.1007/s10479-019-03333-9zbMath1482.62104OpenAlexW2969125567WikidataQ127389983 ScholiaQ127389983MaRDI QIDQ2115814

Pingyu Zhu, Zhongwei Liang, Zheng Liu, Hong-Zhong Huang, Xin Liu

Publication date: 21 March 2022

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-019-03333-9

zbMATH Keywords

Gibbs samplingimprecise Dirichlet modelBayes theoryinherent reliability modeling and analysismachine tool spindle

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• An introduction to the imprecise Dirichlet model for multinomial data
• Accelerated Gibbs sampling of normal distributions using matrix splittings and polynomials
• ON BAYESIAN ANALYSIS OF BINOMIAL RELIABILITY GROWTH
• Bayes estimation for exponential distributions with common location parameter and applications to multi-state reliability models
• Imprecise reliability: An introductory overview

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