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dc.contributor.author유재근*
dc.date.accessioned2018-11-22T16:30:34Z-
dc.date.available2018-11-22T16:30:34Z-
dc.date.issued2017*
dc.identifier.issn2287-7843*
dc.identifier.otherOAK-23827*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/246973-
dc.description.abstractYoo (2015, Statistics and Probability Letters, 99, 109-113) derives theoretical results in an optimal sufficient dimension reduction with singular inner-product matrix. The results are promising, but Yoo (2015) only presents one simulation study. So, an evaluation of its practical usefulness is necessary based on numerical studies. This paper studies the asymptotic behaviors of Yoo (2015) through various simulation models and presents a real data example that focuses on ordinary least squares. Intensive numerical studies show that the X2 test by Yoo (2015) outperforms the existing optimal sufficient dimension reduction method. The basis estimation by the former can be theoretically sub-optimal; however, there are no notable differences from that by the latter. This investigation confirms the practical usefulness of Yoo (2015). © 2017 The Korean Statistical Society, and Korean International Statistical Society. All rights reserved.*
dc.languageEnglish*
dc.publisherKorean Statistical Society*
dc.subjectChi-square test*
dc.subjectOptimality*
dc.subjectSingularity*
dc.subjectSufficient dimension reduction*
dc.titleIntensive numerical studies of optimal sufficient dimension reduction with singularity*
dc.typeArticle*
dc.relation.issue3*
dc.relation.volume24*
dc.relation.indexSCOPUS*
dc.relation.indexKCI*
dc.relation.startpage303*
dc.relation.lastpage315*
dc.relation.journaltitleCommunications for Statistical Applications and Methods*
dc.identifier.doi10.5351/CSAM.2017.24.3.303*
dc.identifier.scopusid2-s2.0-85044091516*
dc.author.googleYoo J.K.*
dc.author.googleGwak D.-H.*
dc.author.googleKim M.-S.*
dc.contributor.scopusid유재근(23032759600)*
dc.date.modifydate20240130113500*
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자연과학대학 > 통계학전공 > Journal papers
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