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dc.contributor.authorDING, CGen_US
dc.date.accessioned2014-12-08T15:04:13Z-
dc.date.available2014-12-08T15:04:13Z-
dc.date.issued1994en_US
dc.identifier.issn0361-0918en_US
dc.identifier.urihttp://hdl.handle.net/11536/2722-
dc.identifier.urihttp://dx.doi.org/10.1080/03610919408813204en_US
dc.description.abstractUse of Newton's method for computing the noncentrality parameter based on the specified power in sample size problems of chi-squared tests requires that we evaluate both the noncentral chi-squared distribution function and its derivative with respect to the noncentrality parameter. A close relationship between computing formulas for them is revealed, by which their evaluations can be performed jointly. This property greatly reduces the amount of computation involved. The corresponding algorithm is provided in a step-by-step form.en_US
dc.language.isoen_USen_US
dc.subjectHASTING FORMULAen_US
dc.subjectNEWTON METHODen_US
dc.subjectNONCENTRAL CHI-SQUARED DISTRIBUTIONen_US
dc.subjectPOWER FUNCTIONen_US
dc.titleAN EFFICIENT ALGORITHM FOR COMPUTING THE NONCENTRALITY PARAMETERS OF CHI-SQUARED TESTSen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/03610919408813204en_US
dc.identifier.journalCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATIONen_US
dc.citation.volume23en_US
dc.citation.issue3en_US
dc.citation.spage861en_US
dc.citation.epage870en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:A1994NW54300018-
dc.citation.woscount2-
Appears in Collections:Articles


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