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>The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes
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The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes
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机译:潜在失效原因和存在随机激活方案的情况下的log-Weibull负二项式回归模型
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摘要
The purpose of this paper is to develop a Bayesian approach for the log-Weibull-negative-binomial regressionudmodel under latent failure causes and presence of a randomized activation mechanism. We assumeudthe number of competing causes of the event of interest follows a negative binomial distribution whileudthe latent lifetimes are assumed to follows a Weibull distribution. Markov chain Monte Carlo methodsudare used to develop a Bayesian approach. Model selection to compare the fitted models is discussed.udMoreover, we develop case deletion influence diagnostics for the joint posterior distribution based on theudψ-divergence, which has several divergence measures as particular cases. The developed procedures areudillustrated on artificial and real data sets.
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