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Multivariate Test based on the Multiple Testing Approach

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dc.contributor.author홍승만-
dc.contributor.author박효일-
dc.date.accessioned2021-09-07T03:14:17Z-
dc.date.available2021-09-07T03:14:17Z-
dc.date.created2021-06-17-
dc.date.issued2012-
dc.identifier.issn1225-066X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/110386-
dc.description.abstractIn this study, we propose a new nonparametric test procedure for the multivariate data. In order to accommodate the generalized alternatives for the multivariate case, we construct test statistics via-values with some useful combining functions. Then we illustrate our procedure with an example and compare efficiency among the combining functions through a simulation study. Finally we discuss some interesting features related with the new nonparametric test as concluding remarks.-
dc.languageEnglish-
dc.language.isoen-
dc.publisher한국통계학회-
dc.titleMultivariate Test based on the Multiple Testing Approach-
dc.title.alternativeMultivariate Test based on the Multiple Testing Approach-
dc.typeArticle-
dc.contributor.affiliatedAuthor홍승만-
dc.identifier.bibliographicCitation응용통계연구, v.25, no.5, pp.821 - 827-
dc.relation.isPartOf응용통계연구-
dc.citation.title응용통계연구-
dc.citation.volume25-
dc.citation.number5-
dc.citation.startPage821-
dc.citation.endPage827-
dc.type.rimsART-
dc.identifier.kciidART001707204-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorCombining function-
dc.subject.keywordAuthormultivariate data-
dc.subject.keywordAuthornonparametric test-
dc.subject.keywordAuthorpermutation principle.-
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