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Designing Experiments for Selecting the Largest Normal Mean when the Variances are Known and Unequal: Optimal Sample Size Allocation

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dc.contributor.authorBechhofer, R.en_US
dc.contributor.authorHayter, A.en_US
dc.contributor.authorTamhane, A.en_US
dc.date.accessioned2007-11-09T19:20:55Z
dc.date.available2007-11-09T19:20:55Z
dc.date.issued1988-12en_US
dc.description.abstractDesigning Experiments for Selecting the Largest Normal Mean when the Variances are Known and Unequal: Optimal Sample Size Allocationen_US
dc.format.extent2469182 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citation825en_US
dc.identifier.urihttps://hdl.handle.net/1813/8708
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.titleDesigning Experiments for Selecting the Largest Normal Mean when the Variances are Known and Unequal: Optimal Sample Size Allocationen_US
dc.typetechnical reporten_US

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