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Testing homogeneity of several covariance matrices and multi-sample sphericity for high-dimensional data under non-normality
Taylor & Francis Verlag | 2017| -
Location-invariant tests of homogeneity of large-dimensional covariance matrices
Springer Verlag | 2017| -
Location-invariant tests of homogeneity of large-dimensional covariance matrices
Online Contents | 2017| -
A unified approach to testing mean vectors with large dimensions
Free accessSpringer Verlag | 2018| -
Multiple comparisons of mean vectors with large dimension under general conditions
Free accessTaylor & Francis Verlag | 2019| -
Tests for high-dimensional covariance matrices using the theory of U-statistics
Online Contents | 2015| -
Location‐invariant Multi‐sample U‐tests for Covariance Matrices with Large Dimension
Online Contents | 2017| -
Location-invariant Multi-sample U -tests for Covariance Matrices with Large Dimension
Online Contents | 2017| -
Tests of Covariance Matrices for High Dimensional Multivariate Data Under Non Normality
Online Contents | 2015| -
Tests of Zero Correlation Using Modified RV Coefficient for High-Dimensional Vectors
Free accessSpringer Verlag | 2019| -
Multiple comparisons of mean vectors with large dimension under general conditions
British Library Online Contents | 2019|
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