2017
DOI: 10.14419/ijasp.v5i1.7638
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A bivariate Pareto type I models

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.

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“…Table (1) presents the results of simulation from BWRD when the size of sample is 20 data points. While the results of sample size 100 is displayed in Table (2) given from simulation study, one can conclude the estimates of model parameters are achieved to the value of actual parameters.…”
Section: Simulation Datamentioning
confidence: 99%
“…Table (1) presents the results of simulation from BWRD when the size of sample is 20 data points. While the results of sample size 100 is displayed in Table (2) given from simulation study, one can conclude the estimates of model parameters are achieved to the value of actual parameters.…”
Section: Simulation Datamentioning
confidence: 99%