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dc.contributor.authorDing, CGen_US
dc.date.accessioned2014-12-08T15:02:26Z-
dc.date.available2014-12-08T15:02:26Z-
dc.date.issued1996-08-10en_US
dc.identifier.issn0167-9473en_US
dc.identifier.urihttp://dx.doi.org/10.1016/0167-9473(96)00002-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/1111-
dc.description.abstractTwo 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.isoen_USen_US
dc.subjectcentral beta distributionen_US
dc.subjecterror bounden_US
dc.subjectgamma functionen_US
dc.subjectmultiple correlation coefficienten_US
dc.subjectNewton's methoden_US
dc.subjectnoncentral beta distributionen_US
dc.subjectquantileen_US
dc.subjectseries representationen_US
dc.titleOn the computation of the distribution of the square of the sample multiple correlation coefficienten_US
dc.typeArticleen_US
dc.identifier.doi10.1016/0167-9473(96)00002-3en_US
dc.identifier.journalCOMPUTATIONAL STATISTICS & DATA ANALYSISen_US
dc.citation.volume22en_US
dc.citation.issue4en_US
dc.citation.spage345en_US
dc.citation.epage350en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
Appears in Collections:Articles


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