MIXTURE MODEL APPROACH TO THE ANALYSIS OF HETEROGENEOUS SURVIVAL DATA

Erisoglu U., Erisoglu M., Erol H.

PAKISTAN JOURNAL OF STATISTICS, cilt.28, sa.1, ss.115-130, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 1
  • Basım Tarihi: 2012
  • Dergi Adı: PAKISTAN JOURNAL OF STATISTICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.115-130
  • Çukurova Üniversitesi Adresli: Evet

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.