Bayesian Estimation of Parameters and Comparison of Shared Gamma Frailty Models
نویسندگان
چکیده
Department of Statistics, University of Pune, Pune-411007, India. Email: david−[email protected]; [email protected] Abstract In this paper, we introduce shared gamma frailty models with three different baseline distributions namely, Weibull, generalized exponential and exponential power distributions. We develop Bayesian estimation procedure using Markov Chain Monte Carlo(MCMC) technique to estimate the parameters involved in these models. We present a simulation study to compare the true values of the parameters with the estimated values. Also we apply these three models to a real life bivariate survival data set of McGilchrist and Aisbett(1991) related to kidney infection data and a better model is suggested for the data.
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عنوان ژورنال:
- Communications in Statistics - Simulation and Computation
دوره 42 شماره
صفحات -
تاریخ انتشار 2013