Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng

Carta kawalan multivariat ialah alat yang berkuasa dalam kawalan proses yang melibatkan kawalan serentak beberapa cirian kualiti yang berkorelasi. Carta-carta multivariat hasil tambah longgokan {MCUSUM) dan multivariat purata bergerak berpemberat eksponen (MEWMA) sentiasa dicadangkan dalam kawala...

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Main Author:	Lee, Ming Ha
Format:	Thesis
Language:	English
Published:	2006
Subjects:	QA299.6-433 Analysis
Online Access:	http://eprints.usm.my/29870/2/Lee_Ming_Ha.pdf
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spelling	my-usm-ep.298702016-03-10T06:23:04Z Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng 2006-11 Lee, Ming Ha QA299.6-433 Analysis Carta kawalan multivariat ialah alat yang berkuasa dalam kawalan proses yang melibatkan kawalan serentak beberapa cirian kualiti yang berkorelasi. Carta-carta multivariat hasil tambah longgokan {MCUSUM) dan multivariat purata bergerak berpemberat eksponen (MEWMA) sentiasa dicadangkan dalam kawalan proses apabila pengesanan cepat anjakan tetap yang keciJ atau sederhana dalam vektor min adalah diingini. A multivariate control chart is a powerful tool in process control involving a simultaneous monitoring of several correlated quality characteristics. The multivariate cumulative sum (MCUSUM) and multivariate exponentially weighted moving average (MEWMA) charts are often recommended in process monitoring when a quick detection of small or moderate sustained shifts in the mean vector is desired. 2006-11 Thesis http://eprints.usm.my/29870/ http://eprints.usm.my/29870/2/Lee_Ming_Ha.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA299.6-433 Analysis
spellingShingle	QA299.6-433 Analysis Lee, Ming Ha Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
description	Carta kawalan multivariat ialah alat yang berkuasa dalam kawalan proses yang melibatkan kawalan serentak beberapa cirian kualiti yang berkorelasi. Carta-carta multivariat hasil tambah longgokan {MCUSUM) dan multivariat purata bergerak berpemberat eksponen (MEWMA) sentiasa dicadangkan dalam kawalan proses apabila pengesanan cepat anjakan tetap yang keciJ atau sederhana dalam vektor min adalah diingini. A multivariate control chart is a powerful tool in process control involving a simultaneous monitoring of several correlated quality characteristics. The multivariate cumulative sum (MCUSUM) and multivariate exponentially weighted moving average (MEWMA) charts are often recommended in process monitoring when a quick detection of small or moderate sustained shifts in the mean vector is desired.
format	Thesis
qualification_level	Master's degree
author	Lee, Ming Ha
author_facet	Lee, Ming Ha
author_sort	Lee, Ming Ha
title	Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
title_short	Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
title_full	Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
title_fullStr	Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
title_full_unstemmed	Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
title_sort	optimal statistical designs of multivariate ewma and multivariate cusum charts based on average run length and median run leng
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2006
url	http://eprints.usm.my/29870/2/Lee_Ming_Ha.pdf
_version_	1747820234758160384

Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng

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