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dc.contributor.author유재근*
dc.date.accessioned2016-08-29T12:08:57Z-
dc.date.available2016-08-29T12:08:57Z-
dc.date.issued2015*
dc.identifier.issn0167-7152*
dc.identifier.otherOAK-14741*
dc.identifier.urihttps://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.modifydate20240130113500*
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자연과학대학 > 통계학전공 > Journal papers
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