完整後設資料紀錄
DC 欄位語言
dc.contributor.author林方茵en_US
dc.contributor.authorFang-Yin Linen_US
dc.contributor.author洪志真en_US
dc.contributor.authorJyh-Jen Horng Shiauen_US
dc.date.accessioned2014-12-12T02:24:56Z-
dc.date.available2014-12-12T02:24:56Z-
dc.date.issued2000en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT890337012en_US
dc.identifier.urihttp://hdl.handle.net/11536/66763-
dc.description.abstract在控制圖的歷史□,對於貝氏控制圖的著墨不多。而本文的目的則是提出一種貝氏控制圖,利用貝氏之事後預測分配理論─藉由事前的資訊,預測出一個新的未知觀察值的分配─描繪出一有別於Shewhart的貝氏控制圖,輔以平均連串長度(average run length, ARL)對各種模型下之單變量與多變量貝氏控制圖之績效檢測。zh_TW
dc.description.abstractBayesian control charts have gained little attention in the literatures of statistical process control. In this paper, Bayesian control charts based on posterior predictive distributions are proposed for monitoring univariate and multivariate continuous processes. The performance of these Bayesian control charts are compared with the traditional Shewhart charts in terms of the average run langth.en_US
dc.language.isozh_TWen_US
dc.subject貝氏zh_TW
dc.subject控制圖zh_TW
dc.subject事後預測分配zh_TW
dc.subjectBayesianen_US
dc.subjectControl Charten_US
dc.subjectPosterior Predictive Distributionen_US
dc.title事後預測分配之貝氏控制圖zh_TW
dc.titleBayesian Control Charts by Posterior Predictive Distributionsen_US
dc.typeThesisen_US
dc.contributor.department統計學研究所zh_TW
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