Abstract
In this manuscript, we propose a new mixture shared gamma frailty model based on Gompertz as baseline distribution. The Bayesian approach of Markov Chain Monte Carlo technique was employed to estimate the parameters involved in the models. A simulation study was performed to compare the true values and the estimated values of the parameters. Comparison with the existing model was done by using Bayesian comparison techniques and a better model for the infectious disease data is suggested.
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