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An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic

Short run control charting in necessary at the start-up of a process and at the initiation of a new process for which prior information is unavailable. Numerous univariate short run control charts have been introduced to overcome the problems faced by conventional charts in a short run environment....

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主要な著者: Khoo, Michael B. C., Gan, H. L.
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2005
主題:
QA Mathematics
オンライン･アクセス:http://eprints.usm.my/124/1/An_Improved_Multivariate_Short_Run_Control_Chart_Based_On_The__Cucum_Statistic.pdf
http://eprints.usm.my/124/
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spelling my.usm.eprints.124 http://eprints.usm.my/124/ An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic Khoo, Michael B. C. Gan, H. L. QA Mathematics Short run control charting in necessary at the start-up of a process and at the initiation of a new process for which prior information is unavailable. Numerous univariate short run control charts have been introduced to overcome the problems faced by conventional charts in a short run environment. Most practical scenarios involve several related variables. the multivariate short run charts for individual measurements and subgrouped data were proposed so that a joint monitoring of several correlated variables can be made simultaneously in a short run environment (see[5]). This paper aims at improving the performance of the multivariate short run chart for individual measurements by using its statistics to construct a cumulative sum (CUSUM) chart. 2005-06-13 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/124/1/An_Improved_Multivariate_Short_Run_Control_Chart_Based_On_The__Cucum_Statistic.pdf Khoo, Michael B. C. and Gan, H. L. (2005) An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic. In: IRCMSA 2005 PROCEEDINGS : Proceedings of the 1st IMT-GT Regional Conference on Mathematics Statistics and Their Applications, 13 - 15 June 2005, Parapat, Lake Toba, North Sumatera, Indonesia.
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 QA Mathematics
spellingShingle QA Mathematics
Khoo, Michael B. C.
Gan, H. L.
An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic
description Short run control charting in necessary at the start-up of a process and at the initiation of a new process for which prior information is unavailable. Numerous univariate short run control charts have been introduced to overcome the problems faced by conventional charts in a short run environment. Most practical scenarios involve several related variables. the multivariate short run charts for individual measurements and subgrouped data were proposed so that a joint monitoring of several correlated variables can be made simultaneously in a short run environment (see[5]). This paper aims at improving the performance of the multivariate short run chart for individual measurements by using its statistics to construct a cumulative sum (CUSUM) chart.
format Conference or Workshop Item
author Khoo, Michael B. C.
Gan, H. L.
author_facet Khoo, Michael B. C.
Gan, H. L.
author_sort Khoo, Michael B. C.
title An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic
title_short An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic
title_full An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic
title_fullStr An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic
title_full_unstemmed An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic
title_sort improved multivariate short run control chart based on the cusum statistic
publishDate 2005
url http://eprints.usm.my/124/1/An_Improved_Multivariate_Short_Run_Control_Chart_Based_On_The__Cucum_Statistic.pdf
http://eprints.usm.my/124/
_version_ 1643698694959136768
score 13.251813

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