Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length

Univariate and multivariate control charts are usually optimally designed using average run length (ARL) as a sole measure of the charts’ performances. It is well known that the shape of the run length distribution for the univariate and multivariate charts changes from highly skewed when the proces...

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Main Author:	Wong, Voon Hee
Format:	Thesis
Language:	English
Published:	2012
Subjects:	QA1-939 Mathematics
Online Access:	http://eprints.usm.my/44926/1/WONG%20VOON%20HEE.pdf
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id	my-usm-ep.44926
record_format	uketd_dc
spelling	my-usm-ep.449262019-07-09T06:45:46Z Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length 2012-05 Wong, Voon Hee QA1-939 Mathematics Univariate and multivariate control charts are usually optimally designed using average run length (ARL) as a sole measure of the charts’ performances. It is well known that the shape of the run length distribution for the univariate and multivariate charts changes from highly skewed when the process is in-control to approximately symmetric for large process shifts. Therefore, the median run length (MRL) is a more meaningful interpretation of the in-control and out-of-control performances of the charts and provides additional information not given by the average run length (ARL). 2012-05 Thesis http://eprints.usm.my/44926/ http://eprints.usm.my/44926/1/WONG%20VOON%20HEE.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1-939 Mathematics
spellingShingle	QA1-939 Mathematics Wong, Voon Hee Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length
description	Univariate and multivariate control charts are usually optimally designed using average run length (ARL) as a sole measure of the charts’ performances. It is well known that the shape of the run length distribution for the univariate and multivariate charts changes from highly skewed when the process is in-control to approximately symmetric for large process shifts. Therefore, the median run length (MRL) is a more meaningful interpretation of the in-control and out-of-control performances of the charts and provides additional information not given by the average run length (ARL).
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Wong, Voon Hee
author_facet	Wong, Voon Hee
author_sort	Wong, Voon Hee
title	Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length
title_short	Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length
title_full	Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length
title_fullStr	Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length
title_full_unstemmed	Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length
title_sort	optimal designs of univariate and multivariate synthetic control charts based on median run length
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2012
url	http://eprints.usm.my/44926/1/WONG%20VOON%20HEE.pdf
_version_	1747821426532941824

Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length

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