Multivariate measures of skewness for the scale mixtures of skew-normal distributions

被引:3
|
作者
Kim, Hyoung-Moon [1 ]
Zhao, Jun [1 ]
机构
[1] Konkuk Univ, Dept Appl Stat, 120 Neungdong Ro, Seoul 05029, South Korea
基金
新加坡国家研究基金会;
关键词
scale mixtures; skew-normal; skew-t; multivariate skewness;
D O I
10.29220/CSAM.2018.25.2.109
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
Several measures of multivariate skewness for scale mixtures of skew-normal distributions are derived. As a special case, those of multivariate skew-t distribution are considered in detail. Furthermore, the similarities, differences, and behavior of these measures are explored for cases of some specific members of the multivariate skew-normal and skew-t distributions using a simulation study. Since some measures are vectors, it is better to take all measures in the same scale when comparing them. In order to attain such a set of comparable indices, the sample version is considered for each of the skewness measures that are taken as test statistics for the hypothesis of t distribution against skew-t distribution. An application is reported for the data set consisting of 71 total glycerol and magnesium contents in Grignolino wine.
引用
收藏
页码:109 / 130
页数:22
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