Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/18182
DC FieldValueLanguage
dc.creator丁兆平;楊玉韻zh_TW
dc.creatorTing, Chao-Ping ; Yang, Yu-Yun-
dc.date1996-08en_US
dc.date.accessioned2008-12-19T06:53:33Z-
dc.date.available2008-12-19T06:53:33Z-
dc.date.issued2008-12-19T06:53:33Z-
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/18182-
dc.description.abstractThe problem of comparing v test treatments simultaneously with a control treatment when k, v ⩾ 3 is considered. Following the work of Majumdar (1992), we use exact design theory to derive Bayes A-optimal block designs and optimal Г-minimax designs for a more general prior assumption for the one-way elimination of heterogeneity model. Examples of robust optimal designs, highly efficient designs, and the comparisons of the approximate optimal designs that are derived by our methods and by some other existing rounding-off schemes when using Owen`s procedure are also provided.-
dc.formatapplication/en_US
dc.languageenen_US
dc.languageen-USen_US
dc.language.isoen_US-
dc.relationJournal of Statistical Planning and Inference, 53(2), 237-251en_US
dc.subjectA-optimal designs; \r\nBayes experimental designs; \r\nBlock designs; \r\nBTBD; \r\nOptimal Г-minimax designs; \r\nRobust designs-
dc.titleBayes A-Optimal Designs for Comparing Test Treatments with a Controlen_US
dc.typearticleen
item.fulltextWith Fulltext-
item.languageiso639-1en_US-
item.openairetypearticle-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
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