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Model validation and vec operators

dc.contributor.authorDias, Cristina
dc.contributor.authorSantos, Carla
dc.contributor.authorVaradinov, Maria
dc.contributor.authorMexia, João Tiago
dc.contributor.institutionCMA - Centro de Matemática e Aplicações
dc.contributor.institutionDM - Departamento de Matemática
dc.date.accessioned2019-06-17T23:09:52Z
dc.date.available2019-06-17T23:09:52Z
dc.date.issued2018-11-30
dc.descriptionThis work was partially supported by the Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) through the project UID/MAT/00297/2013 (Centro de Matematica e Aplicacoes).
dc.description.abstractWe use the vec and other relater operators to carry out inference for structured families of symmetric stochastic matrices M. These are obtained through the sum of the respective mean matrix and a symmetric stochastic matrix with null mean. We consider that the vec operator of the matrix E is normal homoscedastic. The matrices on these families correspond to the treatments of a base design, and the inference is centered on model validation and the action of the factors in the base model on mean matrices.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent777567
dc.identifier.doi10.1063/1.5079167
dc.identifier.isbn9780735417663
dc.identifier.issn0094-243X
dc.identifier.otherPURE: 13707371
dc.identifier.otherPURE UUID: 65caec85-66f2-4d50-88e3-b9b7033c7124
dc.identifier.otherScopus: 85058668057
dc.identifier.otherWOS: 000467966400115
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85058668057&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/85058668057
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAIP - American Institute of Physics
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147204/PT
dc.subjectGeneral Physics and Astronomy
dc.titleModel validation and vec operatorsen
dc.typeconference object
degois.publication.titleInternational Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018
degois.publication.titleInternational Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018
dspace.entity.typePublication
oaire.awardNumber147204
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/147204/PT
oaire.fundingStream5876
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublicationcec4fdd0-a86d-45ee-a62e-e8c18e65c700
relation.isProjectOfPublication.latestForDiscoverycec4fdd0-a86d-45ee-a62e-e8c18e65c700

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