Uniform Asymptotic Normality of the Matrix-variate Beta-distribution

被引：0
|
作者：
Kai Can LI
He TANG
机构：
[1] SchoolofMathematicsandStatistics,HubeiNormalUniversity
来源：
Acta Mathematica Sinica | 2012年 / 28卷 / 08期
关键词：
D O I：
暂无
中图分类号：
O211.3 [分布理论];
学科分类号：
摘要：
With the upper bound of Kullback-Leibler distance between a matrix variate Beta-distribution and a normal distribution,this paper gives the conditions under which a matrix-variate Betadistribution will approach uniformly and asymptotically a normal distribution.
引用
收藏
页码：1701 / 1712
页数：12
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