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Orientador(es)
Resumo(s)
Segregation and matching are techniques to estimate variance compo- nents in mixed models. A question arising is whether segregation can be applied in situations where matching does not apply. Our motivation for this research relies on the fact that we want an answer to that question and to explore this important class of models that can contribute to the devel- opment of mixed models. That is possible using the algebraic structure of mixed models. We present two examples showing that segregation can be applied in situations where matching does not apply.
Descrição
Palavras-chave
Commutative Jordan Algebra Mixed Model Variance Components
Contexto Educativo
Citação
Sandra S. Ferreira, Dário Ferreira, Célia Nunes and João T. Mexia (2013).Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure. Revista Colombiana de Estadística 36, 2 261-271.
Editora
Editorial Universidad Nacional de Colombia