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A test for the equality of covariance matrices when the dimension is large relative to the sample sizes

机译:当维数相对于样本大小较大时,检验协方差矩阵的相等性

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摘要

A simple statistic is proposed for testing the equality of the covariance matrices of several multivariate normal populations. The asymptotic null distribution of this statistic, as both the sample sizes and the number of variables go to infinity, is shown to be normal. Consequently, this test can be used when the number of variables is not small relative to the sample sizes and, in particular, even when the number of variables exceeds the sample sizes. The finite sample size performance of the normal approximation for this method is evaluated in a simulation study.
机译:提出了一个简单的统计量,用于检验几个多元正态总体的协方差矩阵的相等性。该统计量的渐近零分布(随样本大小和变量数量均变为无穷大)被证明是正常的。因此,在变量数量相对于样本数量不小的情况下,尤其是即使变量数量超过样本数量时,也可以使用此测试。在模拟研究中评估了此方法的正态近似的有限样本量性能。

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