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...

पूर्ण विवरण

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मुख्य लेखक: Lee, Ming Ha
स्वरूप: थीसिस
भाषा:अंग्रेज़ी
प्रकाशित: 2006
विषय:
ऑनलाइन पहुंच:http://eprints.usm.my/29870/
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author Lee, Ming Ha
author_facet Lee, Ming Ha
author_sort Lee, Ming Ha
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.
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spelling usm-298702016-03-10T06:23:04Z 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.
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
title 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_short 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
topic QA299.6-433 Analysis
url http://eprints.usm.my/29870/
work_keys_str_mv AT leemingha optimalstatisticaldesignsofmultivariateewmaandmultivariatecusumchartsbasedonaveragerunlengthandmedianrunleng