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Random sample sizes in orthogonal mixed models with stability

2019Journal article Restricted access
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dc.contributor.authorNunes, Célia
dc.contributor.authorMário, Anacleto César Xavier
dc.contributor.authorFerreira, Dário
dc.contributor.authorFerreira, Sandra S.
dc.contributor.authorMexia, João T.
dc.date.accessioned2020-02-07T15:20:51Z
dc.date.available2020-02-07T15:20:51Z
dc.date.issued2019
dc.description.abstractIn this work, we presente a new approach that considers orthogonal mixed models, under situations of stability, when the sample dimensions are not known in advande. In this case, samples are considered realizations of independente rendom variables. We apply this methodology to the case where there is na upper bound for the sample dimensions, which may not be attained since failures may occur. Based on this, we assume that sample sizes are binomially distributed. We consider na application on the incidence of unemployed persons in the European Union to illustrate the proposed methodology. A simulation study is also conduced. The obtained results show the relevance of the proposed approach in avoiding false rejections.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1002/cmm4.1050pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9136
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCenter of Mathematics and Applications of University of Beira Interior
dc.relationCenter for Mathematics and Applications
dc.subjectBinomial distributionpt_PT
dc.subjectOrthogonal mixed modelspt_PT
dc.subjectRandom sample sizespt_PT
dc.subjectStability situationspt_PT
dc.subjectUnemployment in European Unionpt_PT
dc.titleRandom sample sizes in orthogonal mixed models with stabilitypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter of Mathematics and Applications of University of Beira Interior
oaire.awardTitleCenter for Mathematics and Applications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F00212%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F00297%2F2019/PT
oaire.citation.issue5pt_PT
oaire.citation.titleComputational and Mathematical Methodspt_PT
oaire.citation.volume1pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameNunes
person.familyNameMário
person.familyNameFerreira
person.familyNameFerreira
person.familyNameMexia
person.givenNameCélia
person.givenNameAnacleto César Xavier Mário
person.givenNameDário
person.givenNameSandra
person.givenNameJoão
person.identifierR-000-3NA
person.identifier1454084
person.identifierR-000-7FX
person.identifier.ciencia-idAC1F-3CA0-75FE
person.identifier.ciencia-id9B1C-6DF8-2872
person.identifier.ciencia-idE01A-BAE7-2B14
person.identifier.ciencia-id0A1B-09AC-0E39
person.identifier.orcid0000-0003-0167-4851
person.identifier.orcid0000-0002-5519-6931
person.identifier.orcid0000-0001-9095-0947
person.identifier.orcid0000-0002-9209-7772
person.identifier.orcid0000-0001-8620-0721
person.identifier.ridH-1231-2016
person.identifier.scopus-author-id57194580125
person.identifier.scopus-author-id37088452300
person.identifier.scopus-author-id37088374700
person.identifier.scopus-author-id6603673040
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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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