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dc.contributor.author洪鏡婷en_US
dc.contributor.authorHong Jing-Tingen_US
dc.contributor.author陳志榮en_US
dc.contributor.authorChen Chih-Rungen_US
dc.date.accessioned2015-11-26T01:03:57Z-
dc.date.available2015-11-26T01:03:57Z-
dc.date.issued2010en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079726505en_US
dc.identifier.urihttp://hdl.handle.net/11536/45234-
dc.description.abstract本文是發展一個方法去監控不同類別的資料。首先介紹 Dirichlet-多項式模型,根據該模型提出了類別製造過程的多變量 指數加權移動平均管制圖並研究其相關的特性。最後用模擬的資 料來說明這個方法的實用性與適用性。zh_TW
dc.description.abstractThis paper is to develop a method to monitor the fractions of the tested items falling into different categories of pass/fail modes. The Dirichlet-compound multinomial model is first introduced and then a multivariate exponentially weighted moving average control chart is proposed for a categorical manufacturing process under the proposed model. Some relevant properties of the proposed control chart are also investigated. Finally, a simulation study is presented to show the usefulness and applicability of the proposed methodology.en_US
dc.language.isoen_USen_US
dc.subjectDirichlet-多項式模型zh_TW
dc.subject多變量指數加權移動平均zh_TW
dc.subjectDirichlet-compound multinomialen_US
dc.subjectMEWMAen_US
dc.title類別製造過程的多變量指數加權移動平均監控計劃zh_TW
dc.titleMultivariate Exponentially Weighted Moving Average Monitoring Scheme for a Categorical Manufacturing Processen_US
dc.typeThesisen_US
dc.contributor.department統計學研究所zh_TW
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