CONSTRUCTION OF SOME ARCHIMEDEAN COPULAS

Raymond Loko, R. Bidounga, D. Barro, M. K. Diafouka, C. Vouvoungui
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Abstract

We propose an approach allowing to manage the statistical data. At the same time, starting from the copulas of Gumbel,of Ali-Michael and Haq., we propose some copulas of the Archimedean family that we estimate contribute to the resolution of the problems related to the choice of the maximum or the optimal values for a group of random variables united within d random vectors of size n, independent and identifically distributed, suitably normalized as n tends to infinity. To our knowledge, there exists, in this case, the copula of Ali-Michael and Haq, Which goes in the same direction, however, the copula that we propose takes into account on the one hand the dependence parameters of the marginals and on the other hand the size of the samples including the dependence parameter of the joint distribution function
一些阿基米德copula的构造
我们提出了一种允许管理统计数据的方法。同时,从Gumbel, Ali-Michael和Haq的关系开始。,我们提出了一些阿基米德族的copuls,我们估计这些copuls有助于解决与选择一组随机变量的最大值或最优值有关的问题,这些随机变量统一在d个大小为n的随机向量中,独立且等分布,当n趋于无穷时适当归一化。据我们所知,在这种情况下,存在Ali-Michael和Haq的联结,它们的方向相同,但是,我们提出的联结一方面考虑了边际的依赖参数,另一方面考虑了样本的大小,包括联合分布函数的依赖参数
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