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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| Format: | Thesis |
| Language: | en |
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2012
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| Online Access: | http://eprints.usm.my/44926/1/WONG%20VOON%20HEE.pdf http://eprints.usm.my/44926/ |
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| _version_ | 1834503198874796032 |
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| author | Wong, Voon Hee |
| author_facet | Wong, Voon Hee |
| author_sort | Wong, Voon Hee |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.usm.eprints.44926 |
| institution | Universiti Sains Malaysia |
| language | en |
| publishDate | 2012 |
| 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. |
| spellingShingle | QA1-939 Mathematics Wong, Voon Hee Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length |
| title | 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_short | 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 |
| topic | QA1-939 Mathematics |
| url | http://eprints.usm.my/44926/1/WONG%20VOON%20HEE.pdf http://eprints.usm.my/44926/ |
| url_provider | http://eprints.usm.my/ |