On the computation of the distribution of the square of the sample multiple correlation coefficient

doi:10.1016/0167-9473(96)00002-3

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Ding, CG	en_US
dc.date.accessioned	2014-12-08T15:02:26Z	-
dc.date.available	2014-12-08T15:02:26Z	-
dc.date.issued	1996-08-10	en_US
dc.identifier.issn	0167-9473	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/0167-9473(96)00002-3	en_US
dc.identifier.uri	http://hdl.handle.net/11536/1111	-
dc.description.abstract	Two computationally simple methods are proposed to evaluate the distribution function and the density of the square of the sample multiple correlation coefficient. No auxiliary routine is required. The accuracy of recursive computations can be effectively controlled. The distribution function and the density can be evaluated concurrently because their computing formulas are closely related. This property can enhance efficiency of Newton's method for computing the quantiles of the distribution. The corresponding algorithms are provided in a step-by-step form.	en_US
dc.language.iso	en_US	en_US
dc.subject	central beta distribution	en_US
dc.subject	error bound	en_US
dc.subject	gamma function	en_US
dc.subject	multiple correlation coefficient	en_US
dc.subject	Newton's method	en_US
dc.subject	noncentral beta distribution	en_US
dc.subject	quantile	en_US
dc.subject	series representation	en_US
dc.title	On the computation of the distribution of the square of the sample multiple correlation coefficient	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1016/0167-9473(96)00002-3	en_US
dc.identifier.journal	COMPUTATIONAL STATISTICS & DATA ANALYSIS	en_US
dc.citation.volume	22	en_US
dc.citation.issue	4	en_US
dc.citation.spage	345	en_US
dc.citation.epage	350	en_US
dc.contributor.department	管理科學系	zh_TW
dc.contributor.department	Department of Management Science	en_US
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