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dc.contributor.authorShieh, Gwowenen_US
dc.date.accessioned2014-12-08T15:15:50Z-
dc.date.available2014-12-08T15:15:50Z-
dc.date.issued2006-09-01en_US
dc.identifier.issn0033-3123en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11336-04-1221-6en_US
dc.identifier.urihttp://hdl.handle.net/11536/11806-
dc.description.abstractThis paper considers the problem of analysis of correlation coefficients from a multivariate normal population. A unified theorem is derived for the regression model with normally distributed explanatory variables and the general results are employed to provide useful expressions for the distributions of simple, multiple, and partial-multiple correlation coefficients. The inversion principle and monotonicity property of the proposed formulations are used to describe alternative approaches to the exact interval estimation, power calculation, and sample size determination for correlation coefficients.en_US
dc.language.isoen_USen_US
dc.subjectmultiple correlationen_US
dc.subjectpartial-multiple correlationen_US
dc.subjectsimple correlationen_US
dc.titleExact interval estimation, power calculation, and sample size determination in normal correlation analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s11336-04-1221-6en_US
dc.identifier.journalPSYCHOMETRIKAen_US
dc.citation.volume71en_US
dc.citation.issue3en_US
dc.citation.spage529en_US
dc.citation.epage540en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000241551800011-
dc.citation.woscount11-
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