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动态二元偏正态分布的尾相依函数
Tail Dependence Function of the Dynamic Bivariate Skew-normal Distribution
【摘要】 基于二元正态分布在Hüsler-Reiss条件下有关尾相依函数的研究,再结合二元偏正态相关性质的研究及其尾相依系数的推导,给出了动态二元偏正态分布的在偏度参数大于零和小于零情况下的尾相依函数.
【Abstract】 Based on the study of tail dependence function of bivariate normal distribution under HüslerReiss condition,combined with the study of the bivariate skew-normal correlation property and the derivation of the tail dependence coefficient, this paper gives the tail dependence function of the dynamic bivariate skew-normal distribution when the skewness parameters are greater than zero and less than zero.
【关键词】 尾相依函数;
尾相依系数;
动态二元偏正态分布;
【Key words】 tail dependence function; tail dependence coefficient; dynamic bivariate skew-normal distribution;
【Key words】 tail dependence function; tail dependence coefficient; dynamic bivariate skew-normal distribution;
- 【文献出处】 西南师范大学学报(自然科学版) ,Journal of Southwest China Normal University(Natural Science Edition) , 编辑部邮箱 ,2023年05期
- 【分类号】O211.3
- 【下载频次】8