Bayesian estimation for Poisson process models with grouped data and covariate
This paper looks into the Bayesian approach for analyzing and selecting the best Poisson process model for grouped failure data from a repairable system with covariate. The extended powerlaw model with a recurrence rate that incorporates both time and covariate effect is compared to the powerlaw, lo...
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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Institute of Engineering Mathematics, UniMAP
2013
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/30360/1/30360.pdf http://psasir.upm.edu.my/id/eprint/30360/ https://amci.unimap.edu.my/index.php/vol-2-issue-2-2013 |
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