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Discriminant analysis and decision theory

dc.contributor.authorFerreira, Sandra Saraiva
dc.contributor.authorFerreira, Dário
dc.contributor.authorNunes, Célia
dc.contributor.authorMexia, João T.
dc.date.accessioned2020-02-07T14:45:56Z
dc.date.available2020-02-07T14:45:56Z
dc.date.issued2011
dc.description.abstractA unified approach, based in Statistical Decision Theory, is presented for Discriminant Analysis. Thus optimum allocation rules minimizing the expected costs are derived for the continuous case and for the mixed case. In the first case, the observed variables are continuous, while in the mixed case, there will also be discrete as qualitative variables. The second case has many times been treated using logistic regression. The breaking up of the allocation problem into distinct cases is now overcome.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSandra Saraiva Ferreira, Dário Ferreira, Célia Nunes and João Tiago Mexia (2011). Discriminant analysis and decision theory. Far East Journal of Mathematical Sciences, FJMS, Vol. 51, Nº 1, 68-79. Pushpa Publishing Housept_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9121
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPushpa Publishing Housept_PT
dc.relation.ispartofseriesISSN 0972-0871;
dc.subjectMinimum expected costpt_PT
dc.subjectOptimal decision rulept_PT
dc.subjectSufficient statisticpt_PT
dc.titleDiscriminant analysis and decision theorypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceindiapt_PT
oaire.citation.endPage79pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage68pt_PT
oaire.citation.titleFar East Journal of Mathematical Sciences (FJMS)pt_PT
oaire.citation.volume51pt_PT
person.familyNameFerreira
person.familyNameFerreira
person.familyNameNunes
person.familyNameMexia
person.givenNameSandra
person.givenNameDário
person.givenNameCélia
person.givenNameJoão
person.identifier1454084
person.identifierR-000-3NA
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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
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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