Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57125
Title: A multivariate generalized FGM copulas and its application to multiple regression
Authors: Zheng Wei
Daeyoung Kim
Tonghui Wang
Teerawut Teetranont
Authors: Zheng Wei
Daeyoung Kim
Tonghui Wang
Teerawut Teetranont
Keywords: Computer Science
Issue Date: 1-Feb-2017
Abstract: © Springer International Publishing AG 2017. We introduce a class of multivariate non-exchangeable copulas which generalizes many known bivariate FGM type copula families. The properties such as moments, affiliation, association, and positive lower orthant dependent of the proposed class of copula are studied. The simple-to-use multiple regression function and multiple dependence measure formula for this new class of copulas are derived. Several examples are given to illustrate the main results obtained in this paper.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012924695&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57125
ISSN: 1860949X
Appears in Collections:CMUL: Journal Articles

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