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Inference in canonical correlation analysis

dc.contributor.authorGlynn, William J.en_US
dc.contributor.authorMuirhead, Robb J.en_US
dc.date.accessioned2006-04-07T16:59:30Z
dc.date.available2006-04-07T16:59:30Z
dc.date.issued1978-09en_US
dc.identifier.citationGlynn, William J., Muirhead, Robb J. (1978/09)."Inference in canonical correlation analysis." Journal of Multivariate Analysis 8(3): 468-478. <http://hdl.handle.net/2027.42/22542>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WK9-4CRM9D2-87/2/ea608ddbe98597464e8ac282760dedf0en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/22542
dc.description.abstractThe asymptotic behavior, for large sample size, is given for the distribution of the canonical correlation coefficients. The result is used to examine the Bartlett-Lawley test that the residual population canonical correlation coefficients are zero. A marginal likelihood function for the population coefficients is obtained and the maximum marginal likelihood estimates are shown to provide a bias correction.en_US
dc.format.extent410175 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleInference in canonical correlation analysisen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumThe University of Michigan, USAen_US
dc.contributor.affiliationotherHarvard University, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/22542/1/0000087.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0047-259X(78)90067-2en_US
dc.identifier.sourceJournal of Multivariate Analysisen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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