Erisoğlu, ÜlküErisoğlu, MuratErol, Hamza2020-03-262020-03-262012Erisoğlu, Ü., Erisoğlu, M., Erol, H., (2012). Mixture Model Approach to the Analysis of Heterogeneous Survival Data. Pakistan Journal of Statistics, 28(1), 115-130.1012-9367https://hdl.handle.net/20.500.12395/28232In this paper, we examine mixture models to model heterogeneous survival data. Mixture of Gamma distributions, mixture of Lognormal distributions and mixture of Weibull distributions were tested for the best fit to the real survival datasets. Various properties of the proposed mixture models were discussed. Maximum likelihood estimations of the parameters of mixture models were obtained by the EM algorithm. The mixture models were successfully applied for modeling two real heterogeneous survival datasets.eninfo:eu-repo/semantics/closedAccessMixture Gamma DistributionMixture Lognormal DistributionMixture Weibull DistributionEM AlgorithmAkaike Information CriteriaNumber ComponentSurvival DataArticle281115130Q4WOS:000300814900008Q4