Mixture Model Approach to the Analysis of Heterogeneous Survival Data
Yükleniyor...
Dosyalar
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Isoss Publ
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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.
Açıklama
Anahtar Kelimeler
Mixture Gamma Distribution, Mixture Lognormal Distribution, Mixture Weibull Distribution, EM Algorithm, Akaike Information Criteria, Number Component, Survival Data
Kaynak
Pakistan Journal of Statistics
WoS Q Değeri
Q4
Scopus Q Değeri
Q4
Cilt
28
Sayı
1
Künye
Erisoğlu, Ü., Erisoğlu, M., Erol, H., (2012). Mixture Model Approach to the Analysis of Heterogeneous Survival Data. Pakistan Journal of Statistics, 28(1), 115-130.
