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dc.contributor.author유재근-
dc.date.accessioned2017-08-29T04:05:02Z-
dc.date.available2017-08-29T04:05:02Z-
dc.date.issued2015-
dc.identifier.issn0167-7152-
dc.identifier.otherOAK-14741-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/230496-
dc.description.abstractIn this paper, we discuss an optimal sufficient dimension reduction through minimizing a quadratic objective function proposed by Cook and Ni (2005) with singular inner-product matrix. Within a less restrictive class of inner-product matrices, a generalized inverse of the consistent estimator of the asymptotic covariance matrix gives us the benefit of χ2 statistic and asymptotic efficiency within a subclass. © 2015 Elsevier B.V.-
dc.languageEnglish-
dc.publisherElsevier-
dc.subjectMinimum discrepancy approach-
dc.subjectSingularity-
dc.subjectSufficient dimension reduction-
dc.subjectχ2 test-
dc.titleA theoretical note on optimal sufficient dimension reduction with singularity-
dc.typeArticle-
dc.relation.volume99-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.startpage109-
dc.relation.lastpage113-
dc.relation.journaltitleStatistics and Probability Letters-
dc.identifier.doi10.1016/j.spl.2015.01.004-
dc.identifier.wosidWOS:000352169200015-
dc.identifier.scopusid2-s2.0-84961341230-
dc.author.googleYoo J.K.-
dc.contributor.scopusid유재근(23032759600)-
dc.date.modifydate20180302081000-
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자연과학대학 > 통계학전공 > Journal papers
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