偏椭圆分布的偏度和峰度的多变量测量分析

Baishuai Zuo, Narayanaswamy Balakrishnan, Chuancun Yin
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引用次数: 0

摘要

本文研究了斜椭圆分布的8种偏度度量和Mardia峰度度量。考虑的多变量偏度测量包括Mardia, Malkovich-Afifi, Isogai, Song, Balakrishnan-Brito-Quiroz,M$\acute{o}$ri, Rohatgi和Sz$\acute{e}$kely, Kollo和Srivastava测量。我们首先研究了斜椭圆分布的标准形式,然后导出了斜椭圆分布族的所有偏度和峰度度量的精确表达式,除了Song的度量。具体地说,得到了斜正态分布、斜t分布、斜logistic分布、斜拉普拉斯分布、斜皮尔逊II型分布和斜皮尔逊iv型分布的这些度量的公式。接下来,如Malkovich和Afifi(1973)所述,构建基于随机样本的检验统计来说明所建立结果的有效性。在蒙特卡罗模拟研究中,计算和比较了$2$维偏态分布的偏度和峰度的不同度量。最后,通过对实际数据的分析,对所得结果进行了验证。
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An analysis of multivariate measures of skewness and kurtosis of skew-elliptical distributions
This paper examines eight measures of skewness and Mardia measure of kurtosis for skew-elliptical distributions. Multivariate measures of skewness considered include Mardia, Malkovich-Afifi, Isogai, Song, Balakrishnan-Brito-Quiroz, M$\acute{o}$ri, Rohatgi and Sz$\acute{e}$kely, Kollo and Srivastava measures. We first study the canonical form of skew-elliptical distributions, and then derive exact expressions of all measures of skewness and kurtosis for the family of skew-elliptical distributions, except for Song's measure. Specifically, the formulas of these measures for skew normal, skew $t$, skew logistic, skew Laplace, skew Pearson type II and skew Pearson type VII distributions are obtained. Next, as in Malkovich and Afifi (1973), test statistics based on a random sample are constructed for illustrating the usefulness of the established results. In a Monte Carlo simulation study, different measures of skewness and kurtosis for $2$-dimensional skewed distributions are calculated and compared. Finally, real data is analyzed to demonstrate all the results.
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