A multivariate generalized FGM copulas and its application to multiple regression

© 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 a...

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Main Authors: Wei Z., Kim D., Wang T., Teetranont T.
Format: Book Series
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012924695&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40787
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-407872017-09-28T04:11:25Z A multivariate generalized FGM copulas and its application to multiple regression Wei Z. Kim D. Wang T. Teetranont T. © 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. 2017-09-28T04:11:25Z 2017-09-28T04:11:25Z Book Series 1860949X 2-s2.0-85012924695 10.1007/978-3-319-50742-2_22 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012924695&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40787
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 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.
format Book Series
author Wei Z.
Kim D.
Wang T.
Teetranont T.
spellingShingle Wei Z.
Kim D.
Wang T.
Teetranont T.
A multivariate generalized FGM copulas and its application to multiple regression
author_facet Wei Z.
Kim D.
Wang T.
Teetranont T.
author_sort Wei Z.
title A multivariate generalized FGM copulas and its application to multiple regression
title_short A multivariate generalized FGM copulas and its application to multiple regression
title_full A multivariate generalized FGM copulas and its application to multiple regression
title_fullStr A multivariate generalized FGM copulas and its application to multiple regression
title_full_unstemmed A multivariate generalized FGM copulas and its application to multiple regression
title_sort multivariate generalized fgm copulas and its application to multiple regression
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012924695&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40787
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