MIXTURE MODEL APPROACH TO THE ANALYSIS OF HETEROGENEOUS SURVIVAL DATA


Erisoglu U., Erisoglu M., Erol H.

PAKISTAN JOURNAL OF STATISTICS, cilt.28, ss.115-130, 2012 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 28 Konu: 1
  • Basım Tarihi: 2012
  • Dergi Adı: PAKISTAN JOURNAL OF STATISTICS
  • Sayfa Sayıları: ss.115-130

Özet

In 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.