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Multiple Additive Models

dc.contributor.authorAntunes, Patrícia
dc.contributor.authorFerreira, Sandra S.
dc.contributor.authorFerreira, Dário
dc.contributor.authorMexia, João T.
dc.date.accessioned2020-02-10T15:06:07Z
dc.date.available2020-02-10T15:06:07Z
dc.date.issued2020
dc.description.abstractThe models constituting a multiple model will correspond to d treatments of a base design. Using a classic result on cumulant generation function we show how to obtain least square estimators for cumulants and generalized least squares estimators for vectors \beta, l=1,...,d, in the individual models. Next we carry out ANOVA-like analysis for the action of the factors in the base design. This is possible since the estimators \tilde{\beta }(l) of \beta (l). l=1,...,d, have, approximately, the same covariance matrix. The eigenvectors of that matrix will give the principal estimable functions \epsilon_{i}^{\top} \beta (l) i=1,...,k, l=1,...,d, for the individual models. The ANOVA-like analysis will consider homologue components on principal estimable functions. To apply our results we assume the factors in the base design to have fixed effects. Moreover if w=1, and Z(1) has covariance matrix \sigma^{2} \m I_{n}, our treatment generalizes that previously given for multiple regression designs. In them we have a linear regression for each treatment of a base design. We then study the action of the factors on that design on the vectors \beta(l), l=1,...,d. An example of application of the proposed methodology is given.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationPatrícia Antunes, Sandra S. Ferreira, Dário Ferreira and João T. Mexia (2020). Multiple Additive Models. Communications in Statistics – Theory and Methodspt_PT
dc.identifier.doiDOI: 10.1080/03610926.2020.1723636pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9180
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMarcel Dekker Inc.pt_PT
dc.relationCenter of Mathematics and Applications of University of Beira Interior
dc.relationCenter for Mathematics and Applications
dc.subjectANOVApt_PT
dc.subjectCumulantspt_PT
dc.subjectMixed Modelspt_PT
dc.titleMultiple Additive Modelspt_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/UIDB%2F00212%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00297%2F2020/PT
oaire.citation.conferencePlaceMarcel Dekker Inc.pt_PT
oaire.citation.titleCommunications in Statistics - Theory and Methodspt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAntunes
person.familyNameFerreira
person.familyNameFerreira
person.familyNameMexia
person.givenNamePatrícia
person.givenNameSandra
person.givenNameDário
person.givenNameJoão
person.identifier1454084
person.identifierR-000-7FX
person.identifier.ciencia-id0C1F-6F75-7F74
person.identifier.ciencia-idE01A-BAE7-2B14
person.identifier.ciencia-id9B1C-6DF8-2872
person.identifier.ciencia-id0A1B-09AC-0E39
person.identifier.orcid0000-0002-9440-6380
person.identifier.orcid0000-0002-9209-7772
person.identifier.orcid0000-0001-9095-0947
person.identifier.orcid0000-0001-8620-0721
person.identifier.scopus-author-id37088374700
person.identifier.scopus-author-id37088452300
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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