Monitoring proportions with two components of common cause variation
| dc.contributor.author | Goedhart, Rob | en |
| dc.contributor.author | Woodall, William H. | en |
| dc.contributor.department | Statistics | en |
| dc.date.accessioned | 2021-07-30T17:13:24Z | en |
| dc.date.available | 2021-07-30T17:13:24Z | en |
| dc.date.issued | 2021-04-14 | en |
| dc.description.abstract | We propose a method for monitoring proportions when the in-control proportion and the sample sizes vary over time. Our approach is able to overcome some of the performance issues of other commonly used methods, as we demonstrate in this paper using analytical and numerical methods. The derivations and results are shown mainly for monitoring proportions, but we show how the method can be extended to the monitoring of count data. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1080/00224065.2021.1903823 | en |
| dc.identifier.eissn | 2575-6230 | en |
| dc.identifier.issn | 0022-4065 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/104461 | en |
| dc.language.iso | en | en |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.subject | Attribute control chart | en |
| dc.subject | control charts | en |
| dc.subject | Laney method | en |
| dc.subject | p-chart | en |
| dc.subject | statistical process monitoring | en |
| dc.title | Monitoring proportions with two components of common cause variation | en |
| dc.title.serial | Journal of Quality Technology | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
| dc.type.dcmitype | StillImage | en |
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