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dc.contributor.authorSanti Tasenaen_US
dc.contributor.authorSompong Dhompongsaen_US
dc.date.accessioned2018-09-04T09:25:19Z-
dc.date.available2018-09-04T09:25:19Z-
dc.date.issued2013-08-01en_US
dc.identifier.issn0888613Xen_US
dc.identifier.other2-s2.0-84877830922en_US
dc.identifier.other10.1016/j.ijar.2013.01.001en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877830922&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/52440-
dc.description.abstractThe authors propose a multivariate version of Siburg and Stoimenov's measure of mutual complete dependence. This multivariate version is, however, not the distance between a copula and the product copula CIunder the modified Sobolev norm since the set of mutual complete dependence copulas does not lie on the sphere centered at CI. To overcome this difficulty, the authors choose another center and define measures of complete dependence based on the modified Sobolev norm and this center. The measure of multivariate mutual complete dependence is then defined as the summation of the (normalized) measures of complete dependence. © 2012 Elsevier Inc. All rights reserved.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleA measure of multivariate mutual complete dependenceen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Approximate Reasoningen_US
article.volume54en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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