Exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method

碩士 === 國立清華大學 === 統計學研究所 === 103 === In many industrial processes, the quality of a product or a process can be represented by the relationship of a function between a response variable and one or more explanatory variables. This function is called a profile. This article uses a nonparametric resamp...

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Main Authors: Chang, Chih Hsiang, 張智翔
Other Authors: Huwang, Longcheen
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/02777160726837876642
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spelling ndltd-TW-103NTHU53370162016-08-15T04:17:33Z http://ndltd.ncl.edu.tw/handle/02777160726837876642 Exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method 利用無母數方法來監控一般線性輪廓的EWMA管制圖 Chang, Chih Hsiang 張智翔 碩士 國立清華大學 統計學研究所 103 In many industrial processes, the quality of a product or a process can be represented by the relationship of a function between a response variable and one or more explanatory variables. This function is called a profile. This article uses a nonparametric resampling method to develop a control chart to monitor the linear profile process. We evaluate the effectiveness of the new and the traditional control charts by simulation studies. The traditional control charts assuming normal random error term is shown not having good performance. Finally, we use an example to illustrate how to complement our proposed control chart. Huwang, Longcheen 黃榮臣 2015 學位論文 ; thesis 41 zh-TW
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description 碩士 === 國立清華大學 === 統計學研究所 === 103 === In many industrial processes, the quality of a product or a process can be represented by the relationship of a function between a response variable and one or more explanatory variables. This function is called a profile. This article uses a nonparametric resampling method to develop a control chart to monitor the linear profile process. We evaluate the effectiveness of the new and the traditional control charts by simulation studies. The traditional control charts assuming normal random error term is shown not having good performance. Finally, we use an example to illustrate how to complement our proposed control chart.
author2 Huwang, Longcheen
author_facet Huwang, Longcheen
Chang, Chih Hsiang
張智翔
author Chang, Chih Hsiang
張智翔
spellingShingle Chang, Chih Hsiang
張智翔
Exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method
author_sort Chang, Chih Hsiang
title Exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method
title_short Exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method
title_full Exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method
title_fullStr Exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method
title_full_unstemmed Exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method
title_sort exponentially weighted moving average control chart for monitoring general linear profiles based on nonparametric method
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/02777160726837876642
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