Weighted Clayton Copulas and their Characterizations: Application to Probable Modeling of the Hydrology Data

10.6339/JDS.2013.11(2).1084

Hakim Bekrizadeh；Gholam Ali Parham；Mohammad Reza Zadkarmi

Clayton copula ； measures of dependence ； the hydrology data ； weighted distribution functions

Journal of Data Science

11卷2期（2013 / 04 / 01）

293 - 303

英文

Copulas have recently emerged as practical methods for multivariate modeling. To our knowledge, only a limited amount of work has been done to apply copula-based modeling in context analysis. In this study, we generalized Clayton copula under the appropriate weighted function. In some examples, bivariate distributions by using the weighted Clayton copula are generalized. Also the properties of generalized Clayton copula are provided. The Clayton copula and weighted Clayton model cannot be used for negative dependence. These have been used to study left tail dependence. This property is stronger in weighted Clayton model with respect to ordinary Clayton copula. It will also be shown that the generalized Clayton copula is suitable for the probable modeling of the hydrology data.