Pages that link to "Item:Q2434134"

The following pages link to A \(U\)-statistic approach for a high-dimensional two-sample mean testing problem under non-normality and Behrens-Fisher setting (Q2434134):

Displaying 23 items.

• On testing sphericity and identity of a covariance matrix with large dimensions (Q324615) (← links)
• Linear hypothesis testing in high-dimensional one-way MANOVA (Q512013) (← links)
• On high-dimensional two sample mean testing statistics: a comparative study with a data adaptive choice of coefficient vector (Q736633) (← links)
• Two-sample Behrens-Fisher problems for high-dimensional data: a normal reference approach (Q830717) (← links)
• A note on high-dimensional two-sample test (Q894570) (← links)
• A significance test of the RV coefficient in high dimensions (Q1615268) (← links)
• A \(U\)-classifier for high-dimensional data under non-normality (Q1661350) (← links)
• Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches (Q2062798) (← links)
• A further study on Chen-Qin's test for two-sample Behrens-Fisher problems for high-dimensional data (Q2074641) (← links)
• A generalized Wilcoxon-Mann-Whitney type test for multivariate data through pairwise distance (Q2140849) (← links)
• Testing high-dimensional nonparametric Behrens-Fisher problem (Q2165449) (← links)
• A unified approach to testing mean vectors with large dimensions (Q2176339) (← links)
• On error bounds for high-dimensional asymptotic distribution of \(L_2\)-type test statistic for equality of means (Q2288792) (← links)
• \(U\)-tests of general linear hypotheses for high-dimensional data under nonnormality and heteroscedasticity (Q2320970) (← links)
• High-dimensional general linear hypothesis testing under heteroscedasticity (Q2407078) (← links)
• Two sample tests for the nonparametric Behrens–Fisher problem with clustered data (Q3589228) (← links)
• Testing homogeneity of several covariance matrices and multi-sample sphericity for high-dimensional data under non-normality (Q4976251) (← links)
• High-dimensional rank-based inference (Q5114476) (← links)
• Tests for high-dimensional covariance matrices using the theory of<i>U</i>-statistics (Q5220895) (← links)
• Tests of Covariance Matrices for High Dimensional Multivariate Data Under Non Normality (Q5265837) (← links)
• Location‐invariant Multi‐sample <i>U</i>‐tests for Covariance Matrices with Large Dimension (Q5738838) (← links)
• Homogeneity test of several high-dimensional covariance matrices for stationary processes under non-normality (Q6106231) (← links)
• A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors (Q6185128) (← links)