A Collection of Two-Dimensional Copulas Based on an Original Parametric Ratio Scheme

Author:

Chesneau Christophe1

Affiliation:

1. Department of Mathematics, LMNO, University of Caen, 14032 Caen, France

Abstract

The creation of two-dimensional copulas is crucial for the proposal of novel families of two-dimensional distributions and the analysis of original dependence structures between two quantitative variables. Such copulas can be developed in a variety of ways. In this article, we provide theoretical contributions to this subject; we emphasize a new parametric ratio scheme to create copulas of the following form: C(x,y)=(b+1)xy/[b+ϕ(x,y)], where b is a constant and ϕ(x,y) is a two-dimensional function. As a notable feature, this form can operate an original trade-off between the product copula and more versatile copulas (not symmetric, with tail dependence, etc.). Instead of a global study, we examine seven concrete examples of such copulas, which have never been considered before. Most of them are extended versions of existing non-ratio copulas, such as the Celebioglu–Cuadras, Ali-Mikhail-Haq, and Gumbel–Barnett copulas. We discuss their attractive properties, including their symmetry, dominance, dependence, and correlation features. Some graphics and tables are given as complementary works. Our findings expand the horizons of new two-dimensional distributional or dependence modeling.

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference39 articles.

1. Sklar, A. (1959). Fonctions de Répartition à n Dimensions et leurs Marges, Publications de l’Institut Statistique de l’Université de Paris.

2. Random variables, joint distribution functions, and copulas;Sklar;Kybernetika,1973

3. A compendium of copulas;Nadarajah;Statistica,2017

4. Nelsen, R. (2006). An Introduction to Copulas, Springer. [2nd ed.].

5. A bivariate inverse Weibull distribution and its application in complementary risks model;Mondal;J. Appl. Stat.,2020

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