A comparison of the performances of procedures for selecting the normal population having the largest mean when the populations have a common unknown variance

dc.contributor.authorBechhofer, R.en_US
dc.contributor.authorDunnett, C. W.en_US
dc.contributor.authorGoldsman, D. M.en_US
dc.contributor.authorHartmann, M.en_US
dc.date.accessioned2007-11-09T20:00:22Z
dc.date.available2007-11-09T20:00:22Z
dc.date.issued1990-02en_US
dc.description.abstractThis paper published in the Proceedings First Canadian Conference on Computational Geometry, Montreal, Canada, August 1989en_US
dc.format.extent4401232 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citation894en_US
dc.identifier.urihttps://hdl.handle.net/1813/8777
dc.language.isoen_USen_US
dc.publisherCornell University Operations Research and Industrial Engineeringen_US
dc.subjectOperations Researchen_US
dc.subjectIndustrial Engineeringen_US
dc.subjecttechnical reporten_US
dc.titleA comparison of the performances of procedures for selecting the normal population having the largest mean when the populations have a common unknown varianceen_US
dc.typetechnical reporten_US
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