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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Main Authors: Khoo, Michael B. C., Gan, H. L.
Format: Conference or Workshop Item
Language:English
Published: 2005
Subjects:
Online Access:http://eprints.usm.my/124/1/An_Improved_Multivariate_Short_Run_Control_Chart_Based_On_The__Cucum_Statistic.pdf
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author Khoo, Michael B. C.
Gan, H. L.
author_facet Khoo, Michael B. C.
Gan, H. L.
author_sort Khoo, Michael B. C.
collection USM
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.
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spelling usm.eprints-1242013-07-13T00:34:30Z 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.
spellingShingle QA Mathematics
Khoo, Michael B. C.
Gan, H. L.
An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic
title 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_short 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
topic QA Mathematics
url http://eprints.usm.my/124/1/An_Improved_Multivariate_Short_Run_Control_Chart_Based_On_The__Cucum_Statistic.pdf
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