Cover Image

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...

Full description

Saved in:
Bibliographic Details
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
http://eprints.usm.my/44926/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.usm.eprints.44926
record_format eprints
spelling my.usm.eprints.44926 http://eprints.usm.my/44926/ Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length 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 NonPeerReviewed application/pdf en http://eprints.usm.my/44926/1/WONG%20VOON%20HEE.pdf Wong, Voon Hee (2012) Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length. PhD thesis, Universiti Sains Malaysia.
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 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
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
publishDate 2012
url http://eprints.usm.my/44926/1/WONG%20VOON%20HEE.pdf
http://eprints.usm.my/44926/
_version_ 1643711144960983040
score 13.15806

Similar Items