A goodness-of fit improvement based on τ-preserving transformation for semiparametric family of copulas

Selim Orhun Susam and Burcu Hudaverdi

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 21, 7699-7708

Abstract: In this paper, we study on improving the goodness-of fit for the data by using τ-preserving transform for the semiparametric family of bivariate copulas. We estimate the generator function ϕ using the Bézier polynomial function and define τ- preserving transformation on the generator function under positive quadrant dependence assumption. We investigate the performance of our methodology on real data example contained life expectancy study. The findings indicate that the model fitting is improved by using τ- preserving transformation.

Date: 2023
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DOI: 10.1080/03610926.2022.2052900

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