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

Detalhes bibliográficos
Autor(a) principal: Ferreira, Sandra S.
Data de Publicação: 2013
Outros Autores: Ferreira, Dário, Nunes, Célia, Mexia, João T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/9135
Resumo: 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.
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spelling Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block StructureCommutative Jordan AlgebraMixed ModelVariance ComponentsSegregation 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.Editorial Universidad Nacional de ColombiauBibliorumFerreira, Sandra S.Ferreira, DárioNunes, CéliaMexia, João T.2020-02-07T15:18:18Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/9135engSandra 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, 2 261-271.0120 - 1751metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-16T11:54:50ZPortal AgregadorONG
dc.title.none.fl_str_mv Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
title Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
spellingShingle Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
Ferreira, Sandra S.
Commutative Jordan Algebra
Mixed Model
Variance Components
title_short Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
title_full Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
title_fullStr Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
title_full_unstemmed Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
title_sort Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure
author Ferreira, Sandra S.
author_facet Ferreira, Sandra S.
Ferreira, Dário
Nunes, Célia
Mexia, João T.
author_role author
author2 Ferreira, Dário
Nunes, Célia
Mexia, João T.
author2_role author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Ferreira, Sandra S.
Ferreira, Dário
Nunes, Célia
Mexia, João T.
dc.subject.por.fl_str_mv Commutative Jordan Algebra
Mixed Model
Variance Components
topic Commutative Jordan Algebra
Mixed Model
Variance Components
description 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.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2020-02-07T15:18:18Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.6/9135
url http://hdl.handle.net/10400.6/9135
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 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.
0120 - 1751
dc.rights.driver.fl_str_mv metadata only access
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Editorial Universidad Nacional de Colombia
publisher.none.fl_str_mv Editorial Universidad Nacional de Colombia
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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