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Please use this identifier to cite or link to this item: http://elib.bsu.by/handle/123456789/94325
Title: Fitting finite mixture models to censored data
Authors: Friedl, H.
Booth, J.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2010
Publisher: Minsk: BSU
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.
URI: http://elib.bsu.by/handle/123456789/94325
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