一种新的多元峰度及其渐近分布

Q4 Mathematics
Chiaki Miyagawa, Kazuyuki Koizumi, T. Seo
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引用次数: 4

摘要

本文基于Mardia(1970)和Srivastava(1984)分别定义的多元峰度的两个度量,提出了多元峰度的新定义。在正态性条件下,给出了新的多元样本峰度的期望值和方差的精确值。我们还给出了新多元峰度的样本测度的第三矩。在此基础上推导了一种新的多元峰度样本测度的标准化统计量和归一化变换统计量。最后,为了评估这些统计数据的准确性,我们对一些选定的参数值进行了蒙特卡罗模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new multivariate kurtosis and its asymptotic distribution
In this paper, we propose a new definition for multivariate kurtosis based on the two measures of multivariate kurtosis defined by Mardia (1970) and Srivastava (1984), respectively. Under normality, the exact values of the expectation and the variance for the new multivariate sample measure of kurtosis are given. We also give the third moments for the sample measure of new multivariate kurtosis. After that standardized statistics and normalizing transformation statistic for the sample measure of a new multivariate kurtosis are derived by using these results. Finally, in order to evaluate accuracy of these statistics, we present the numerical results by Monte Carlo simulation for some selected values of parameters.
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来源期刊
SUT Journal of Mathematics
SUT Journal of Mathematics Mathematics-Mathematics (all)
CiteScore
0.30
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