Some tests for the covariance matrix with fewer observations than the dimension under non-normality
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Publication:538191
DOI10.1016/j.jmva.2011.03.003zbMath1274.62388OpenAlexW1985720541MaRDI QIDQ538191
Tõnu Kollo, Dietrich von Rosen, Muni S. Srivastava
Publication date: 23 May 2011
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2011.03.003
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Cites Work
- Bootstrap tests and confidence regions for functions of a covariance matrix
- Some limit theorems for the eigenvalues of a sample covariance matrix
- On the distributions of some test criteria for a covariance matrix under local alternatives and bootstrap approximations
- Monotonicity of the power functions of modified likelihood ratio criterion for the homogeneity of variances and of the sphericity test
- Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
- On some test criteria for covariance matrix
- Testing for complete independence in high dimensions
- Comparison of powers for the sphericity tests using both the asymptotic distribution and the bootstrap
- Properties of Power Functions of Some Tests Concerning Dispersion Matrices of Multivariate Normal Distributions
- Locally Best Invariant Test for Sphericity and the Limiting Distributions
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