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dc.contributor.authorRamberg, J.en_US
dc.date.accessioned2007-11-09T18:59:24Z
dc.date.available2007-11-09T18:59:24Z
dc.date.issued1969-07en_US
dc.identifier.citation79en_US
dc.identifier.urihttps://hdl.handle.net/1813/8432
dc.description.abstractA Multiple-Decision Approach to the Selection of the Best Set of Predictor Variatesen_US
dc.format.extent7100674 bytes
dc.format.mimetypeapplication/pdf
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 Multiple-Decision Approach to the Selection of the Best Set of Predictor Variatesen_US
dc.typetechnical reporten_US


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