DSpace at EWHA: A theoretical view of the envelope model for multivariate linear regression as response dimension reduction

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DC Field	Value	Language
dc.contributor.author	유재근	*
dc.date.accessioned	2016-08-28T10:08:43Z	-
dc.date.available	2016-08-28T10:08:43Z	-
dc.date.issued	2013	*
dc.identifier.issn	1226-3192	*
dc.identifier.other	OAK-9934	*
dc.identifier.uri	https://dspace.ewha.ac.kr/handle/2015.oak/223589	-
dc.description.abstract	The envelope model recently developed for the classical multivariate linear regression have potential gain in efficiency in estimating unknown parameters over usual maximum likelihood estimation. In this paper, we theoretically investigate the envelope model as dimension reduction for response variables and connect them to existing methods. © 2012 The Korean Statistical Society.	*
dc.language	English	*
dc.title	A theoretical view of the envelope model for multivariate linear regression as response dimension reduction	*
dc.type	Article	*
dc.relation.issue	2	*
dc.relation.volume	42	*
dc.relation.index	SCIE	*
dc.relation.index	SCOPUS	*
dc.relation.index	KCI	*
dc.relation.startpage	143	*
dc.relation.lastpage	148	*
dc.relation.journaltitle	Journal of the Korean Statistical Society	*
dc.identifier.doi	10.1016/j.jkss.2012.03.004	*
dc.identifier.wosid	WOS:000316844800001	*
dc.identifier.scopusid	2-s2.0-84875120528	*
dc.author.google	Yoo J.K.	*
dc.contributor.scopusid	유재근(23032759600)	*
dc.date.modifydate	20240130113500	*