摘要
假定样本总体的维数为p,样本容量为n,当p<n时,单个及多个p元正态总体的协方差阵的检验问题已经解决,但是当p比n大很多时,我们发现已有的解决方法失效,参见文献[3-4].文献[1]提出了一般条件下两样本协方差阵检验的检验统计量,本文将为这个统计量的渐近正态性的相关结论给出证明.
We suppose that the dimension of population is p and the sample size is n. When p〈n ,the tests for the variance-covariance matrices of one and multi p dimensional normal populations are solved; When p is much larger than n, the methods in [3-4] isn' t work. The test statistic of the two-sample test for the whole covariance matrices was proposed in literatrue Ill. In this article, we will proof some results on the normality of this test statistic.
关键词
高维数据
协方差阵
假设检验
大p小n
矩阵的迹
high dimensional data
hypothesis test
covariance matrix
Large p small n
tracks of matrix