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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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 |
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Universiti Sains Malaysia |
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language |
English |
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QA299.6-433 Analysis |
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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 |