Title of article
FGM generated archimedean copulas with concave multiplicative generators
Author/Authors
Doodman, N. Department of Statistics - Faculty of Mathematical Sciences - Ferdowsi University of Mashhad, Iran , Amini, M. Department of Statistics, Ordered Data, Reliability and Dependency Center of Excellence - Ferdowsi University of Mashhad, Mashhad, Iran , Jabbari, H. Department of Statistics, Ordered Data, Reliability and Dependency Center of Excellence - Ferdowsi University of Mashhad, Mashhad, Iran , Dolati, A. Department of Statistics - Faculty of Mathematical Sciences - Yazd University, Iran
Pages
15
From page
15
To page
29
Abstract
The Farlie-Gumble-Morgenstren (FGM) family and archimedean family are the most popular parametric families of copulas. In the present paper, we propose an extension of archimedean copulas with concave multiplicative generators in the style of FGM family. In particular, our method allows the modelling of higher positive dependence than the other FGM extensions in the literature. The construction and characteristics of the proposed model along with some examples of parametric subfamilies are provided. A numerical study is used to illustrate the methodology.
Keywords
Archimedean copulas , FGM family , dependence , dependence measures
Journal title
Iranian Journal of Fuzzy Systems (IJFS)
Serial Year
2021
Record number
2526937
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