Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57130
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dc.contributor.authorXiaonan Zhuen_US
dc.contributor.authorTonghui Wangen_US
dc.contributor.authorVarith Pipitpojanakarnen_US
dc.date.accessioned2018-09-05T03:35:19Z-
dc.date.available2018-09-05T03:35:19Z-
dc.date.issued2017-02-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85012899543en_US
dc.identifier.other10.1007/978-3-319-50742-2_15en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012899543&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57130-
dc.description.abstract© Springer International Publishing AG 2017. In this chapter, several general methods of constructions of multivariate copulas are presented, which are generalizations of some existing constructions in bivariate copulas. Dependence properties of new families are explored and examples are given for illustration of our results.en_US
dc.subjectComputer Scienceen_US
dc.titleConstructions of multivariate copulasen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume692en_US
article.stream.affiliationsNew Mexico State University Las Crucesen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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