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A Bayesian Approach to Survival Analysis of Gompertz Model with R and JAGS |
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PP: 1479-1496 |
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doi:10.18576/isl/120336
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Author(s) |
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Najrullah Khan,
Athar Ali Khan,
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Abstract |
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| The Gompertz distribution of lifetimes was introduced in 1825 and a probability model was derived for studying human mortality. In this paper, an attempt has been made to Bayesian fitting of Gompertz distribution. The Bayesian approach is implemented with R and JAGS for analytic and simulation tools. Our main target is to explore the use of Laplace Approximation for Bayesian analysis. A real right censored data is used. Finally, the model is compared with Weibull distribution using Bayesian prediction tools.
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