A bivariate Pareto type I models

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    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.


  • Keywords


    : Bivariate Pareto Type I; Gaussian Copula; Maximum Likelihood Estimation; Bayesian Estimation.

  • References


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Article ID: 7638
 
DOI: 10.14419/ijasp.v5i1.7638




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