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高维协方差阵的两样本检验的一些证明

Some Proofs on Two Sample Tests for High Dimensional Covariance Matrices
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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.
出处 《长春师范大学学报(人文社会科学版)》 2012年第6期1-5,共5页 Journal of Changchun Teachers Coliege
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
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参考文献3

  • 1Chen, S. X. and Li Jun. Two sample tests for high dimensional covariance matrices[J].The Annals of Statistics, 2010, 38(2):808-835.
  • 2Chen, S. X.,Zhang, L.-X, and Zhong, P.-S.Testing for High Dimensional Covariance Matrices[J]. J. Amer. Statist. Assoc, 2010,109:810-819.
  • 3Anderson, T. W.An Introduction to Multivariate Statistical Analysis[M]. New York: Wiley, 2003:431-446.

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