Weighted Statistic in Detecting Faint and Sparse Alternatives for High-Dimensional Covariance Matrices
This article considers testing equality of two population covariance matrices when the data dimension p diverges with the sample size n (p/n → c > 0). We propose a weighted test statistic that is data-driven and powerful in both faint alternatives (many small disturbances) and sparse alternatives...
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Main Authors: | , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2017
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/85597 http://hdl.handle.net/10220/43760 |
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Institution: | Nanyang Technological University |
Language: | English |