Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure

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Autore principale: Sandra S. Ferreira
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2013
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author Sandra S. Ferreira
author_facet Sandra S. Ferreira
contents Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure Sandra S. Ferreira Dário Ferreira Célia Nunes João T. Mexia Física, Astronomía y Matemáticas Mixed model Variance components Commutative Jordan algebra Segregation and matching are techniques to estimate variance components 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 development 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. 2013 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89929799005 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.36
format Artículo científico
id redalyc_89929799005
institution Redalyc
language en
publishDate 2013
publisher Universidad Nacional de Colombia
spellingShingle Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
Sandra S. Ferreira
Física, Astronomía y Matemáticas
Mixed model
Variance components
Commutative Jordan algebra
Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure Sandra S. Ferreira Dário Ferreira Célia Nunes João T. Mexia Física, Astronomía y Matemáticas Mixed model Variance components Commutative Jordan algebra Segregation and matching are techniques to estimate variance components 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 development 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. 2013 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89929799005 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.36
title Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
topic Física, Astronomía y Matemáticas
Mixed model
Variance components
Commutative Jordan algebra
url https://www.redalyc.org/articulo.oa?id=89929799005