A bivariate Pareto type I models

  • Authors

    • Mervat Abd Elaal Assistant ProfessorDepartment of Statistics, Faculty of ScienceKing Abdulaziz UniversityJeddah, Kingdom of Saudi Arabia
    • Hind Alzahrani student Master
    2017-05-16
    https://doi.org/10.14419/ijasp.v5i1.7638
  • , Bivariate Pareto Type I, Gaussian Copula, Maximum Likelihood Estimation, Bayesian Estimation.

  • In this paper two new bivariate Pareto Type I distributions are introduced. The first distribution is based on copula, and the second distribution is based on mixture of and copula. Maximum likelihood and Bayesian estimations are used to estimate the parameters of the proposed distribution. A Monte Carlo Simulation study is carried out to study the behavior of the proposed distributions. A real data set is analyzed to illustrate the performance and flexibility of the proposed distributions.

  • References

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