DSpace at EWHA: Chi-squared tests in kth-moment sufficient dimension reduction

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DC Field	Value	Language
dc.contributor.author	유재근	*
dc.date.accessioned	2016-08-27T02:08:30Z	-
dc.date.available	2016-08-27T02:08:30Z	-
dc.date.issued	2013	*
dc.identifier.issn	0094-9655	*
dc.identifier.issn	1563-5163	*
dc.identifier.other	OAK-9614	*
dc.identifier.uri	https://dspace.ewha.ac.kr/handle/2015.oak/216693	-
dc.description.abstract	We present a novel approach to sufficient dimension reduction for the conditional kth moments in regression. The approach provides a computationally feasible test for the dimension of the central kth-moment subspace. In addition, we can test predictor effects without assuming any models. All test statistics proposed in the novel approach have asymptotic chi-squared distributions.	*
dc.language	English	*
dc.publisher	TAYLOR &amp	*
dc.publisher	FRANCIS LTD	*
dc.subject	chi-squared tests	*
dc.subject	kth-moment dimension reduction	*
dc.subject	predictor effect tests	*
dc.subject	regression	*
dc.subject	sufficient dimension reduction	*
dc.subject	62G08	*
dc.subject	62H05	*
dc.title	Chi-squared tests in kth-moment sufficient dimension reduction	*
dc.type	Article	*
dc.relation.issue	1	*
dc.relation.volume	83	*
dc.relation.index	SCIE	*
dc.relation.index	SCOPUS	*
dc.relation.startpage	191	*
dc.relation.lastpage	201	*
dc.relation.journaltitle	JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION	*
dc.identifier.doi	10.1080/00949655.2011.635304	*
dc.identifier.wosid	WOS:000313033800014	*
dc.author.google	Yoo, Jae Keun	*
dc.contributor.scopusid	유재근(23032759600)	*
dc.date.modifydate	20240130113500	*