事後預測分配之貝氏控制圖

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DC Field	Value	Language
dc.contributor.author	林方茵	en_US
dc.contributor.author	Fang-Yin Lin	en_US
dc.contributor.author	洪志真	en_US
dc.contributor.author	Jyh-Jen Horng Shiau	en_US
dc.date.accessioned	2014-12-12T02:24:56Z	-
dc.date.available	2014-12-12T02:24:56Z	-
dc.date.issued	2000	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#NT890337012	en_US
dc.identifier.uri	http://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.abstract	Bayesian 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.iso	zh_TW	en_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.subject	Bayesian	en_US
dc.subject	Control Chart	en_US
dc.subject	Posterior Predictive Distribution	en_US
dc.title	事後預測分配之貝氏控制圖	zh_TW
dc.title	Bayesian Control Charts by Posterior Predictive Distributions	en_US
dc.type	Thesis	en_US
dc.contributor.department	統計學研究所	zh_TW
Appears in Collections:	Thesis