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A note on optimum grouping and the relative discriminating power of qualitative to continuous normal variates

dc.contributor.authorHung, Yung-Taien_US
dc.contributor.authorKshirsagar, Anant M.en_US
dc.date.accessioned2006-04-07T18:32:28Z
dc.date.available2006-04-07T18:32:28Z
dc.date.issued1984-01en_US
dc.identifier.citationHung, Yung-tai, Kshirsagar, Anant M. (1984/01)."A note on optimum grouping and the relative discriminating power of qualitative to continuous normal variates." Statistics &amp; Probability Letters 2(1): 19-21. <http://hdl.handle.net/2027.42/24942>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V1D-47N62SF-3V/2/e9652486ae55cf780aa32294be1b8981en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/24942
dc.description.abstractOgawa (1951) considered the efficiency of estimation of the population mean from suitably chosen order statistics in large samples. Cox (1957) has considered the relative amount of information retained by grouping the normal curve. Cochran and Hopkins (1961) determined the discriminating power retained after partitioning normally distributed variates into qualitative ones in multivariate classification problems. And Connor (1972) discussed the asymptotic efficiencies of the test for the trend using m groups formed from a continuous variable. The same expression appears in all these investigations. This note throws some more light on the occurrence of the same expression in these seemingly unrelated problems.en_US
dc.format.extent140193 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA note on optimum grouping and the relative discriminating power of qualitative to continuous normal variatesen_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.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/24942/1/0000369.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0167-7152(84)90031-2en_US
dc.identifier.sourceStatistics &amp; Probability Lettersen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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