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Albers, W.
(2009)
Control charts for health care monitoring under overdispersion.
Memorandum 1891,
Department of Applied Mathematics, University of Twente, Enschede.
ISSN 1874-4850
There is a more recent version of this eprint available. Click here to view it. Full text available as: Official URL: http://www.math.utwente.nl/publications  AbstractAn attractive way to control attribute data from high quality processes is to wait till r 1 failures have occurred. The choice of r in such negative binomial charts is dictated by how much the failure rate is supposed to change during Out-of-Control. However, these results have been derived for the case of homogeneous data. Especially in health care monitoring, (groups of) patients will often show large heterogeneity. In the present paper we will show how such overdispersion can be taken into account. In practice, typically neither the average failure rate, nor the overdispersion parameter(s), will be known. Hence we shall also derive and analyze the estimated version of the new chart.
| Item Type: | Internal Report (Memorandum) |
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| Research Group: | EWI-SP: Statistics and Probability |
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| Research Program: | CTIT-IE&ICT: Industrial Engineering and ICT |
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| Uncontrolled Keywords: | Statistical Process Control, high-quality processes, geometric charts, average run length, estimated parameters, heterogeneity |
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| ID Code: | 15065 |
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| Deposited On: | 06 February 2009 |
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| More Information: | statisticsmetis |
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