On multivariate control charts

dc.contributor.author	Frisén, Marianne
dc.date.accessioned	2011-02-10T07:54:52Z
dc.date.available	2011-02-10T07:54:52Z
dc.date.issued	2011-02-10
dc.description.abstract	Industrial production requires multivariate control charts to enable monitoring of several components. Recently there has been an increased interest also in other areas such as detection of bioterrorism, spatial surveillance and transaction strategies in finance. In the literature, several types of multivariate counterparts to the univariate Shewhart, EWMA and CUSUM methods have been proposed. We review general approaches to multivariate control chart. Suggestions are made on the special challenges of evaluating multivariate surveillance methods.	sv
dc.format.extent	16	sv
dc.identifier.issn	0349-8034
dc.identifier.uri	http://hdl.handle.net/2077/24393
dc.language.iso	eng	sv
dc.publisher	University of Gothenburg	sv
dc.relation.ispartofseries	Research Report	sv
dc.relation.ispartofseries	2011:2	sv
dc.subject	Surveillance	sv
dc.subject	monitoring	sv
dc.subject	quality control	sv
dc.subject	multivariate evaluation	sv
dc.subject	sufficiency	sv
dc.title	On multivariate control charts	sv
dc.type	Text	sv
dc.type.svep	report	sv

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