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|Title:||Fitting finite mixture models to censored data|
|Keywords:||ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика|
|Abstract:||For censored response data the class of generalized linear mixed models is considered, in which random intercepts are assumed to be unobserved discrete random group indicators. A Monte Carlo EM algorithm is established to calcu- late the maximum likelihood estimators for all parameters in this model. Finally, this model is applied on data about partly censored hexachlorobenzene concentrations in pumpkin seeds.|
|Appears in Collections:||PLENARY LECTURES|
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