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

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dc.contributor.authorFerreira, Sandra S.
dc.contributor.authorFerreira, Dário
dc.contributor.authorNunes, Célia
dc.contributor.authorMexia, João T.
dc.date.accessioned2020-02-07T15:18:18Z
dc.date.available2020-02-07T15:18:18Z
dc.date.issued2013
dc.description.abstractSegregation 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSandra 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.pt_PT
dc.identifier.issn0120 - 1751
dc.identifier.urihttp://hdl.handle.net/10400.6/9135
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherEditorial Universidad Nacional de Colombiapt_PT
dc.relationStrategic Project - UI 212 - 2011-2012
dc.subjectCommutative Jordan Algebrapt_PT
dc.subjectMixed Modelpt_PT
dc.subjectVariance Componentspt_PT
dc.titleEstimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structurept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 212 - 2011-2012
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FMAT%2FUI0212%2F2011/PT
oaire.citation.conferencePlaceColombiapt_PT
oaire.citation.endPage271pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage261pt_PT
oaire.citation.titleRevista Colombiana de Estadísticapt_PT
oaire.citation.volume36pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFerreira
person.familyNameFerreira
person.familyNameNunes
person.familyNameMexia
person.givenNameSandra
person.givenNameDário
person.givenNameCélia
person.givenNameJoão
person.identifier1454084
person.identifierR-000-3NA
person.identifierR-000-7FX
person.identifier.ciencia-idE01A-BAE7-2B14
person.identifier.ciencia-id9B1C-6DF8-2872
person.identifier.ciencia-idAC1F-3CA0-75FE
person.identifier.ciencia-id0A1B-09AC-0E39
person.identifier.orcid0000-0002-9209-7772
person.identifier.orcid0000-0001-9095-0947
person.identifier.orcid0000-0003-0167-4851
person.identifier.orcid0000-0001-8620-0721
person.identifier.ridH-1231-2016
person.identifier.scopus-author-id37088374700
person.identifier.scopus-author-id37088452300
person.identifier.scopus-author-id57194580125
person.identifier.scopus-author-id6603673040
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofctCopyright cedido à Editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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