A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model

A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model

博士 === 國立交通大學 === 統計學研究所 === 101 === In this paper, a statistical process control technique is developed for manufacturing processes, where the quality of the process can be better characterized and summarized by the relationship between the response variable and some relevant explanatory variables....

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Main Authors: Liao, Tri-Ching, 廖子慶
Other Authors: Chen, Chih-Rung
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/52224135030514924410
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spelling ndltd-TW-101NCTU53370202015-10-13T23:10:50Z http://ndltd.ncl.edu.tw/handle/52224135030514924410 A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model 最佳估計函數的多變量指數移動加權平均監控參數剖面模型 Liao, Tri-Ching 廖子慶 博士 國立交通大學 統計學研究所 101 In this paper, a statistical process control technique is developed for manufacturing processes, where the quality of the process can be better characterized and summarized by the relationship between the response variable and some relevant explanatory variables. Firstly, a parametric profile model is described and then a multivariate exponentially weighted moving average monitoring scheme based on optimal estimating functions for a parametric profile model is proposed. Secondly, the proposed methodology is compared with Kim et al. (2003) and Zou et al. (2007) via a simulation study. Finally, some concluding remarks are given and possible future work is discussed. Chen, Chih-Rung 陳志榮 2013 學位論文 ; thesis 39 en_US
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language en_US
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description 博士 === 國立交通大學 === 統計學研究所 === 101 === In this paper, a statistical process control technique is developed for manufacturing processes, where the quality of the process can be better characterized and summarized by the relationship between the response variable and some relevant explanatory variables. Firstly, a parametric profile model is described and then a multivariate exponentially weighted moving average monitoring scheme based on optimal estimating functions for a parametric profile model is proposed. Secondly, the proposed methodology is compared with Kim et al. (2003) and Zou et al. (2007) via a simulation study. Finally, some concluding remarks are given and possible future work is discussed.
author2 Chen, Chih-Rung
author_facet Chen, Chih-Rung
Liao, Tri-Ching
廖子慶
author Liao, Tri-Ching
廖子慶
spellingShingle Liao, Tri-Ching
廖子慶
A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model
author_sort Liao, Tri-Ching
title A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model
title_short A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model
title_full A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model
title_fullStr A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model
title_full_unstemmed A Multivariate Exponentially Weighted Moving Average Monitoring Scheme Based on Optimal Estimating Functions for a Parametric Profile Model
title_sort multivariate exponentially weighted moving average monitoring scheme based on optimal estimating functions for a parametric profile model
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/52224135030514924410
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