Abstract
In this paper, we develop a new test procedure for testing the homogeneity of multiple high-dimensional covariance matrices, where the populations may not be multivariate normal. Our results generalize the recent results in He and Chen (2018) which focused on two-sample test. In addition, numerical simulations demonstrate that the proposed test performs well and better in several cases than some existing multi-sample tests.
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