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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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主要作者: Lee, Ming Ha
格式: Thesis
语言:English
出版: 2006
主题:
QA299.6-433 Analysis
在线阅读:http://eprints.usm.my/29870/2/Lee_Ming_Ha.pdf
http://eprints.usm.my/29870/
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spelling my.usm.eprints.29870 http://eprints.usm.my/29870/ Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng 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 NonPeerReviewed application/pdf en http://eprints.usm.my/29870/2/Lee_Ming_Ha.pdf Lee, Ming Ha (2006) Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2006
url http://eprints.usm.my/29870/2/Lee_Ming_Ha.pdf
http://eprints.usm.my/29870/
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score 13.252575

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