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A multi-parameter Generalized Farlie-Gumbel-Morgenstern bivariate copula family via Bernstein polynomial
2022
Journal:  
Hacettepe Journal of Mathematics and Statistics
Author:  
Abstract:

In this paper, we are proposing a flexible method for constructing a bivariate generalized Farlie-Gumbel-Morgenstern (G-FGM) copula family. The method is mainly developed around the function $\phi(t)$ ($t\in [0,1]$), where $\phi$ is the generator of the G-FGM copula. The proposed construction method has useful advantages. The first of which is the direct relationship between the $\phi$ function and Kendall's tau. The second advantage is the possibility of constructing a multi-parameter G-FGM copula which allows us to better harmonize empirical instruction with the model. The construction method is illustrated by three real data examples.

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2022
Author:  
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2022
Author:  
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Journal Type :   Uluslararası

Metrics
Article : 1.771
Cite : 683
2023 Impact : 0.004
Hacettepe Journal of Mathematics and Statistics