A note on optimum grouping and the relative discriminating power of qualitative to continuous normal variates
dc.contributor.author | Hung, Yung-Tai | en_US |
dc.contributor.author | Kshirsagar, Anant M. | en_US |
dc.date.accessioned | 2006-04-07T18:32:28Z | |
dc.date.available | 2006-04-07T18:32:28Z | |
dc.date.issued | 1984-01 | en_US |
dc.identifier.citation | Hung, Yung-tai, Kshirsagar, Anant M. (1984/01)."A note on optimum grouping and the relative discriminating power of qualitative to continuous normal variates." Statistics & Probability Letters 2(1): 19-21. <http://hdl.handle.net/2027.42/24942> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V1D-47N62SF-3V/2/e9652486ae55cf780aa32294be1b8981 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/24942 | |
dc.description.abstract | Ogawa (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.extent | 140193 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | A note on optimum grouping and the relative discriminating power of qualitative to continuous normal variates | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/24942/1/0000369.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0167-7152(84)90031-2 | en_US |
dc.identifier.source | Statistics & Probability Letters | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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