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    题名: 用拔靴法建構無母數剖面資料監控之信賴帶
    Nonparametric profile monitoring via bootstrap percentile confidence bands
    作者: 謝至芬
    贡献者: 洪英超
    謝至芬
    关键词: 無母數剖面資料監控
    B-spline
    區塊拔靴法
    信賴帶
    曲線深度
    Nonparametric profile monitoring
    B-spline
    block bootstrap
    confidence band
    curve depth
    日期: 2010
    上传时间: 2013-09-05 15:14:31 (UTC+8)
    摘要: 近年來剖面資料的監控在統計製程控制中有很大範圍的應用。在這篇論文裡,我們針對監控無母數剖面資料提出一個實務上的操作方法。這個操作方法有下列這些重要的特色:(1)使用一個靈活且有計算效率的無母數模型B-spline來描述反應變數與解釋變數的關係;(2)一般迴歸模型中之殘差結構假設是不需要的;(3)允許剖面資料內之觀測值間具有相關性之結構。最後,我們利用一個無線偵測器的實際資料來評估所提出方法的效率。
    Profile monitoring has received increasingly attention in a wide range of applications in statistical process control (SPC). In this work, we propose a practical proposed guide which has the following important features: (i) a flexible and computationally efficient smoothing technique, called the B-spline, is employed to describe the relationship between the response variable and the explanatory variable(s); (ii) the usual structural assumptions on the residuals are not require; and (iii) the dependence structure for the within-profile observations is appropriately accommodated. Finally, a real data set from a wireless sensor is used to evaluate the efficiency of our proposed method.
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    描述: 碩士
    國立政治大學
    統計研究所
    98354009
    99
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0983540092
    数据类型: thesis
    显示于类别:[統計學系] 學位論文

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