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  • Türkiye İstatistik Derneği Dergisi
  • Volume:7 Issue:2
  • COMPARISON OF TWO-COMPONENT MIXTURE DISTRIBUTION MODELS FOR HETEROGENEOUS SURVIVAL DATASETS: A REVIE...

COMPARISON OF TWO-COMPONENT MIXTURE DISTRIBUTION MODELS FOR HETEROGENEOUS SURVIVAL DATASETS: A REVIEW STUDY

Authors : Ayça Hatice TÜRKAN, Nazif ÇALIŞ
Pages : 33-42
View : 23 | Download : 4
Publication Date : 2014-06-01
Article Type : Research Paper
Abstract :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 insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(Expectation Maximization);algorithm. Model performances are compared using goodness of fit tests and Akaike’s information criterioninsert ignore into journalissuearticles values(AIC);. Results indicate that, mixtures of two non-identical insert ignore into journalissuearticles values(different kind of); distributions are as useful asmixtures of identical distributions
Keywords : Exponential, gamma, lognormal, mixture distribution models, survival analysis, weibull

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