We propose a new bivariate symmetric copula with positive and negative dependence properties. The main features of the proposed copula are its simple mathematical structure, wider dependence range compared to FGM copula and its generalizations, and no lower and upper tail dependence. The maximum range of Spearman's Rho of the proposed copula is [-0.5866,0.5866], which improves the dependence range of the FGM copula and its various generalizations. A new bivariate Rayleigh distribution is developed using the proposed copula, and some statistical properties have been studied. A real data set is analyzed to illustrate the proposed bivariate distribution's relevance in practical contexts.
翻译:我们提出了一种新的双变量对称协变量,具有正和负依赖性质。所提出的协变量的主要特征是其简单的数学结构,比FGM协变量及其广义具有更多的依赖范围,并且没有下限和上限尾依赖。所提出协变量的Spearman's Rho最大范围为[-0.5866,0.5866],这改善了FGM协变量及其各种广义的依赖范围。使用所提出的协变量开发了一个新的双变量Rayleigh分布,并研究了一些统计性质。我们通过分析一组真实数据来说明所提出的双变量分布在实际情况中的相关性。