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• W2804239968 abstract "Abstract This paper proposes a different likelihood formulation within the Bayesian paradigm for parameter estimation of reliability models. Moreover, the assessment of the uncertainties associated with parameters, the goodness of fit, and the model prediction of reliability are included in a systematic framework for better aiding the model selection procedure. Two case studies are appraised to highlight the contributions of the proposed method and demonstrate the differences between the proposed Bayesian formulation and an existing Bayesian formulation." @default.
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• W2804239968 date "2018-05-21" @default.
• W2804239968 modified "2023-09-25" @default.
• W2804239968 title "A novel Bayesian approach to reliability modeling: The benefits of uncertainty evaluation in the model selection procedure" @default.
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• W2804239968 doi "https://doi.org/10.1002/qre.2312" @default.
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