Please use this identifier to cite or link to this item: http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/722
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dc.contributor.authorLalpawimawha-
dc.date.accessioned2024-06-14T08:30:17Z-
dc.date.available2024-06-14T08:30:17Z-
dc.date.issued2018-
dc.identifier.urihttp://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/722-
dc.description.abstractThe study proposes additive hazard shared inverse Gaussian frailty model with generalized Pareto, generalized Rayleigh and xgamma distributions as baseline distribution to analyze the bivariate data set of McGilchrist and Aisbett (1991). The estimation of the parameters involved in the models was done by Bayesian approach of Markov Chain Monte Carlo technique. The true values and the estimated values of the parameters are compared by using simulation study. The proposed models are fitted to the real life data set and the best model suggested for the data.en_US
dc.language.isoen_USen_US
dc.subjectBayesian method, generalized Pareto distribution, generalized Rayleigh distribution, inverse Gaussian frailty, xgamma distributionen_US
dc.titleADDITIVE SHARED INVERSE GAUSSIAN FRAILTY MODELen_US
dc.typeArticleen_US
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