Noura Saeed Mohamed Abdelmeguid <br/><br/>
On assessing the number of components in survival finite mixture models /  
 تحديد عدد المركبات لنماذج البقاء فى ظل توزيعات مختلطة محدودة 
Noura Saeed Mohamed Abdelmeguid ; Supervised Moshira A. Ismail 
 - Cairo :   Noura Saeed Mohamed Abdelmeguid ,   2014 
 - 87 P. ;   25cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Sciences - Department of Statistics 
<br/><br/> Survival analysis is a collection of statistical procedures for data analysis for which  the outcome variable of interest is time until an event occurs. Historically, survival  analysis has been represented with the classical statistical distributions such as  Gamma, exponential and Weibull distributions. In the heterogeneous structure of the  data, the use of survival mixtures of distributions has become widespread. Survival  Mixture Models SMM have been widely used as an efficient statistical tool for  modeling and describing population heterogeneity in reliability and life testing  applications. Both classical and Bayesian approaches were widely used in estimating  the parameters of survival mixture models. However, the question of how many  components should be included in a survival mixture model to adequately represent  the data is still a difficult question needing a satisfactory solution.  This thesis considers assessing the number of components in Survival Mixture  Models SMM. Specifically, a two-component Weibull mixture of distributions will be  adopted under random censoring. Weibull Mixture Models WMM are commonly  used due to their mathematical flexibility and their various applications in survival  and reliability analyses 
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<br/><br/><label>Subjects--Index Terms: </label>Homogeneity Tests Survival Mixture Models Weibull Mixture Models