Pages that link to "Item:Q137110"
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The following pages link to A two sample test in high dimensional data (Q137110):
Displaying 50 items.
- highDmean (Q137111) (← links)
- A simpler spatial-sign-based two-sample test for high-dimensional data (Q290723) (← links)
- Testing linear hypotheses of mean vectors for high-dimension data with unequal covariance matrices (Q394093) (← links)
- Order test for high-dimensional two-sample means (Q447646) (← links)
- A high dimensional two-sample test under a low dimensional factor structure (Q495362) (← links)
- Linear hypothesis testing in high-dimensional one-way MANOVA (Q512013) (← links)
- On testing the equality of high dimensional mean vectors with unequal covariance matrices (Q520564) (← links)
- A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices (Q525878) (← links)
- On high dimensional two-sample tests based on nearest neighbors (Q746878) (← links)
- Rank-based tests of cross-sectional dependence in panel data models (Q830595) (← links)
- A note on high-dimensional two-sample test (Q894570) (← links)
- Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data (Q900797) (← links)
- A high-dimensional two-sample test for the mean using random subspaces (Q1623444) (← links)
- A generalized likelihood ratio test for normal mean when \(p\) is greater than \(n\) (Q1659185) (← links)
- Hotelling's \(T^2\) in separable Hilbert spaces (Q1661352) (← links)
- Distribution-free high-dimensional two-sample tests based on discriminating hyperplanes (Q1694021) (← links)
- Robust two-sample test of high-dimensional mean vectors under dependence (Q1755128) (← links)
- On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings (Q1795576) (← links)
- Tests for multivariate analysis of variance in high dimension under non-normality (Q1941442) (← links)
- A two-sample test for the equality of univariate marginal distributions for high-dimensional data (Q2008229) (← links)
- A stationary bootstrap test about two mean vectors comparison with somewhat dense differences and fewer sample size than dimension (Q2032194) (← links)
- Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches (Q2062798) (← links)
- A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA (Q2076144) (← links)
- Projection-based high-dimensional sign test (Q2131148) (← links)
- Some clustering-based exact distribution-free \(k\)-sample tests applicable to high dimension, low sample size data (Q2140846) (← links)
- Asymptotic properties of high-dimensional spatial median in elliptical distributions with application (Q2140858) (← links)
- Testing linear hypothesis of high-dimensional means with unequal covariance matrices (Q2151597) (← links)
- Test for high-dimensional mean vector under missing observations (Q2237813) (← links)
- Two-sample high dimensional mean test based on prepivots (Q2242161) (← links)
- A more powerful test of equality of high-dimensional two-sample means (Q2242183) (← links)
- High-dimensional mean estimation via \(\ell_1\) penalized normal likelihood (Q2252887) (← links)
- Tests for covariance matrices in high dimension with less sample size (Q2252902) (← links)
- Two-sample test for sparse high-dimensional multinomial distributions (Q2273180) (← links)
- A high-dimensional spatial rank test for two-sample location problems (Q2291328) (← links)
- A test for the \(k\) sample Behrens-Fisher problem in high dimensional data (Q2317297) (← links)
- High-dimensional tests for spherical location and spiked covariance (Q2350053) (← links)
- Mean vector testing for high-dimensional dependent observations (Q2374404) (← links)
- Test on the linear combinations of mean vectors in high-dimensional data (Q2398084) (← links)
- Likelihood-based tests on moderate-high-dimensional mean vectors with unequal covariance matrices (Q2398414) (← links)
- High-dimensional general linear hypothesis testing under heteroscedasticity (Q2407078) (← links)
- High dimensional two-sample test based on the inter-point distance (Q2418056) (← links)
- A one-sample test for normality with kernel methods (Q2419660) (← links)
- Classification accuracy as a proxy for two-sample testing (Q2656602) (← links)
- On Test Statistics in Profile Analysis with High-dimensional Data (Q2828780) (← links)
- A Two Sample Test for Mean Vectors with Unequal Covariance Matrices (Q2943799) (← links)
- Inference for low- and high-dimensional multigroup repeated measures designs with unequal covariance matrices (Q3188695) (← links)
- Two-sample behrens-fisher problem for high-dimensional data (Q3448709) (← links)
- A Test for the Equality of Means of Two Groups with Different Variances When the Sample Size and the Dimension are Large (Q3585302) (← links)
- (Q3740829) (← links)
- A High-Dimensional Two-Sample Test for Non-Gaussian Data under a Strongly Spiked Eigenvalue Model (Q4578226) (← links)
