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Simulation-based Analysis of Degradation Data: Implementation of a Multilevel Approach |
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PP: 79-91 |
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Author(s) |
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Romana Shehla,
Athar Ali Khan,
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Abstract |
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| Data often arrive with hierarchical structure and multilevel regression modeling is the most popular approach to handle such
data. This paper demonstrates how multilevel model can be analyzed in Bayesian framework, with reference to a practical degradation
data problem. Assuming a varying-intercept, varying-slope model for the data, the exact as well as the approximate inference procedures
have been developed using R and JAGS and their performance have been compared. Further, the concept of Bayesian p-values have
been discussed to assess the adequacy of the proposed model. |
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