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Bayes Analysis and Comparison of Accelerated Weibull and Accelerated Birnbaum–Saunders Models
Authors:S K Upadhyay
Institution:1. Department of Statistics &2. DST Centre for Interdisciplinary Mathematical Sciences , Banaras Hindu University , Varanasi , India
Abstract:Several models are proposed in the literature for modeling fatigue data resulting from materials subject to cyclic stress and strain. Accelerated Weibull and accelerated Birnbaum–Saunders distributions are most commonly used models. Whereas the accelerated Weibull model is easier compared to accelerated Birnbaum–Saunders, it fails to represent the situation equally well. The present article focuses on Bayes analysis of the two models and provides a comparison based on some important Bayesian tools. Model compatibility study using predictive simulation ideas is preceded by the said comparison. Throughout, the posterior simulations are carried out by Markov chain Monte Carlo procedure.
Keywords:Accelerated testing  BIC  Birnbaum–Saunders model  DIC  Fractional Bayes Factor  Gibbs sampler  Hybrid strategy  Metropolis algorithm  Predictive simulation  Weibull model
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