A Nonparametric Multivariate Control Chart Based on Data Depth
dc.contributor.author | Hering, Franz | de |
dc.contributor.author | Messaoud, Amor | de |
dc.contributor.author | Weihs, Claus | de |
dc.date.accessioned | 2004-12-29T10:59:54Z | |
dc.date.available | 2004-12-29T10:59:54Z | |
dc.date.issued | 2004 | de |
dc.description.abstract | For 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.identifier.uri | http://hdl.handle.net/2003/19653 | |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-15676 | |
dc.language.iso | en | de |
dc.publisher | Universität Dortmund | de |
dc.subject.ddc | 000 | de |
dc.title | A Nonparametric Multivariate Control Chart Based on Data Depth | en |
dc.type | Text | de |
dc.type.publicationtype | report | en |
dcterms.accessRights | open access |