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Bivariate Exponentiated Modified Weibull Extension Distribution |
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PP: 67-78 |
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doi:10.18576/jsap/050106
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Author(s) |
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A. El-Gohary,
A. H. El-Bassiouny,
M. El-Morshedy,
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Abstract |
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| In this paper, a new bivariate exponentiated modified Weibull extension distribution (BEMWE) is introduced. This model
is of Marshall-Olkin type. The marginals of the new bivariate distribution have exponentiated modified Weibull extension distribution
which proposed by Sarhan et al.[1]. The joint probability density function and the joint cumulative distribution function are given in
closed forms. Several properties of this distribution have been discussed. The maximum likelihood estimators of the parameters are
derived. One real data set is analyzed using the new bivariate distribution, which shows that the new model can be used quite effectively
in fitting and analyzing real lifetime data than the bivariate generalized Gompertz distribution (BGG) model. |
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