Estimation of the parameters of multivariate stable distributions

被引:8
|
作者
Sathe, Aastha M. [1 ]
Upadhye, N. S. [1 ]
机构
[1] Indian Inst Technol Madras, Dept Math, Chennai 600036, Tamil Nadu, India
关键词
Multivariate stable distribution; Parameter estimation; Simulation; Applications; NOISE;
D O I
10.1080/03610918.2020.1784432
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we first discuss some of the well-known methods available in the literature for the estimation of the parameters of a univariate/multivariate stable distribution. Based on the available methods, a new hybrid method is proposed for the estimation of the parameters of a univariate stable distribution. The proposed method is further used for the estimation of the parameters of a strictly multivariate stable distribution. The efficiency, accuracy and simplicity of the new method is shown through Monte-Carlo simulation. Finally, we apply the proposed method to the univariate and bivariate financial data.
引用
收藏
页码:5897 / 5914
页数:18
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