COMPARISON OF TWO-COMPONENTMIXTURE DISTRIBUTION MODELS FORHETEROGENEOUS SURVIVAL DATASETS: AREVIEW STUDY

Ayça Hatice TÜRKAN; Nazif ÇALIŞ.

Makale detayları

COMPARISON OF TWO-COMPONENTMIXTURE DISTRIBUTION MODELS FORHETEROGENEOUS SURVIVAL DATASETS: AREVIEW STUDY

Yazarlar:

Ayça Hatice TÜRKAN | Nazif ÇALIŞ.

Yayıncı:

Başbakanlık

Dergi:

Istatistik Journal of The Turkish Statistical Association 2014 Vol.7 Issue 2, pp.33-42

Belge Tipi:

Makale

Yayın Tarihi:

5/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000709978

Sıklık:

İki Yıllık

pISSN:

1300-4077

Özet:

 

Heterogeneous survival data can have two different distributions before and after a certain timebecause many factors affect the life of the creatures or machines. For this purpose, we use a mixture of twoidentical (same kind of) distributions of Exponential, Gamma, Lognormal and Weibull and also all pairwisecombinations of these distributions. In addition to the previous studies, we propose the mixture of Log-normaldistribution with the Exponential, Gamma and Weibull distributions. Maximum likelihood estimations ofparameters of the mixture distribution models are obtained by using the EM (Expectation Maximization)algorithm. Model performances are compared using goodness of fit tests and Akaike’s information criterion(AIC). Results indicate that, mixtures of two non-identical (different kind of) distributions are as useful asmixtures of identical distributions.

Makale detayları

COMPARISON OF TWO-COMPONENTMIXTURE DISTRIBUTION MODELS FORHETEROGENEOUS SURVIVAL DATASETS: AREVIEW STUDY

Yazarlar: Ayça Hatice TÜRKAN | Nazif ÇALIŞ.

Yayıncı: Başbakanlık

Dergi: Istatistik Journal of The Turkish Statistical Association 2014 Vol.7 Issue 2, pp.33-42

Belge Tipi: Makale

Yayın Tarihi: 5/2014

Belge Dili: Türkçe

Document ID (Org No.): 2000709978

Sıklık: İki Yıllık

pISSN: 1300-4077

Sayı

Yazarlar:

Ayça Hatice TÜRKAN | Nazif ÇALIŞ.

Yayıncı:

Başbakanlık

Dergi:

Istatistik Journal of The Turkish Statistical Association 2014 Vol.7 Issue 2, pp.33-42

Belge Tipi:

Makale

Yayın Tarihi:

5/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000709978

Sıklık:

İki Yıllık

pISSN:

1300-4077