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dc.contributor.authorRoengchai Tansuchaten_US
dc.contributor.authorParavee Maneejuken_US
dc.date.accessioned2018-09-05T04:26:15Z-
dc.date.available2018-09-05T04:26:15Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85043976628en_US
dc.identifier.other10.1007/978-3-319-75429-1_25en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85043976628&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58559-
dc.description.abstract© 2018, Springer International Publishing AG, part of Springer Nature. Several families of copulas are considered in this study to illustrate the correlation between real estate–particularly hospitality real estate investment trust- and the tourism sector. In essence, this study uses Elliptical copulas and Archimedean copulas, and more recent classes, like extreme value copulas and mixed copulas to conduct the experiment. Under a specific data set, it is revealed that the classical classes of copulas i.e., Elliptical and Archimedean, are selected most often for illustrating the dependency, followed by the extreme value class, particularly the Husler-Reiss copula. However, surprisingly, the mixed copula is not entirely preferable for this data set.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleModeling Dependence with Copulas: Are Real Estates and Tourism Associated?en_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume10758 LNAIen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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