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dc.contributor.authorHering, Franzde
dc.contributor.authorMessaoud, Amorde
dc.contributor.authorWeihs, Clausde
dc.date.accessioned2004-12-29T10:59:54Z-
dc.date.available2004-12-29T10:59:54Z-
dc.date.issued2004de
dc.identifier.urihttp://hdl.handle.net/2003/19653-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15676-
dc.description.abstractFor the design of most multivariate control charts, it is assumed that the observations follow a multivariate normal distribution. In practice, this assumption is rarely satisfied. In this work, a distribution-free EWMA control chart for multivariate processes is proposed. This chart is based on sequential rank of data depth measures.en
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.subject.ddc000de
dc.titleA Nonparametric Multivariate Control Chart Based on Data Depthen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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