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Biplots of Multivariate Data Guided by Linear and/or Logistic Regression}

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dc.contributor.author허명회-
dc.contributor.author이용구-
dc.date.accessioned2021-09-06T09:10:57Z-
dc.date.available2021-09-06T09:10:57Z-
dc.date.created2021-06-17-
dc.date.issued2013-
dc.identifier.issn2287-7843-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/105675-
dc.description.abstractLinear regression is the most basic statistical model for exploring the relationship between a numerical response variable and several explanatory variables. Logistic regression secures the role of linear regression for the dichotomous response variable. In this paper, we propose a biplot-type display of the multivariate data guided by the linear regression and/or the logistic regression. The figures show the directional flow of the response variable as well as the interrelationship of explanatory variables.-
dc.languageEnglish-
dc.language.isoen-
dc.publisher한국통계학회-
dc.titleBiplots of Multivariate Data Guided by Linear and/or Logistic Regression}-
dc.title.alternativeBiplots of Multivariate Data Guided by Linear and/or Logistic Regression}-
dc.typeArticle-
dc.contributor.affiliatedAuthor허명회-
dc.identifier.bibliographicCitationCommunications for Statistical Applications and Methods, v.20, no.2, pp.129 - 136-
dc.relation.isPartOfCommunications for Statistical Applications and Methods-
dc.citation.titleCommunications for Statistical Applications and Methods-
dc.citation.volume20-
dc.citation.number2-
dc.citation.startPage129-
dc.citation.endPage136-
dc.type.rimsART-
dc.identifier.kciidART001756490-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorData visualization-
dc.subject.keywordAuthorbiplot graph-
dc.subject.keywordAuthorlinear regression-
dc.subject.keywordAuthorlogistic regression-
dc.subject.keywordAuthordimensional reduction.-
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