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Bayesian analysis for randomly truncated constant-stress accelerated life testing
2007 (English)In: Journal of Systems Engineering and Electronics, ISSN 1001-506X, Vol. 29, no 2, p. 320-323Article in journal (Refereed) Published
Abstract [en]

Aimed at the fault of the traditional numeration methods, the Weibull model, which is used widely in the family of Bayesian accelerated failure-time model was discussed. Markov chain Monte Carlo method based on Gibbs sampling was discussed, which were used to simulate dynamically the Markov Chain of the parameters’ posterior distribution. Also, the parameters’ Bayesian estimations were given out with prior suppose for its parameters. What’s more, the results of the data’s simulation were utilized to show the process of setting the model by using the BUGS package. It proves the objectivity and validity of the model.

Place, publisher, year, edition, pages
2007. Vol. 29, no 2, p. 320-323
Identifiers
URN: urn:nbn:se:ltu:diva-3846Local ID: 1b209a75-c32c-4718-92bb-6894bac851dbOAI: oai:DiVA.org:ltu-3846DiVA, id: diva2:976708
Note
Upprättat; 2007; 20120508 (linjan)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Lin, Jing

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