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dc.contributor.author신동완*
dc.date.accessioned2016-08-28T10:08:47Z-
dc.date.available2016-08-28T10:08:47Z-
dc.date.issued2012*
dc.identifier.issn0167-7152*
dc.identifier.otherOAK-9235*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/223024-
dc.description.abstractSome extensions of entropy and KL information to the survival function have been recently proposed. We first compare some extensions of KL information and provide a criterion in choosing one among those extensions. Then we study moment constraints for maximum cumulative residual entropy distribution(Rao etal., 2004) in view of the relation between the cumulative residual entropy difference and cumulative residual Kullback-Leibler (KL) information. We further discuss the estimation methods and suggest a weighted cumulative residual entropy. Finally, we discuss the application of the estimated cumulative residual KL information as a goodness of fit test statistic with numerical examples. © 2012 Elsevier B.V.*
dc.languageEnglish*
dc.titleOn cumulative residual Kullback-Leibler information*
dc.typeArticle*
dc.relation.issue11*
dc.relation.volume82*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage2025*
dc.relation.lastpage2032*
dc.relation.journaltitleStatistics and Probability Letters*
dc.identifier.doi10.1016/j.spl.2012.06.015*
dc.identifier.wosidWOS:000309021800024*
dc.identifier.scopusid2-s2.0-84864137197*
dc.author.googlePark S.*
dc.author.googleRao M.*
dc.author.googleShin D.W.*
dc.contributor.scopusid신동완(7403352539)*
dc.date.modifydate20240116115756*
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자연과학대학 > 통계학전공 > Journal papers
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