Pages that link to "Item:Q1042971"
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The following pages link to On the \(k\)-sample Behrens-Fisher problem for high-dimensional data (Q1042971):
Displaying 19 items.
- A priori analysis of a closure model using the reconstruction of the orientation distribution function in flow of fiber suspensions (Q416108) (← links)
- Linear hypothesis testing in high-dimensional one-way MANOVA (Q512013) (← links)
- Two-sample Behrens-Fisher problems for high-dimensional data: a normal reference approach (Q830717) (← links)
- Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data (Q900797) (← links)
- A note on the unbiased estimator of \(\mathbf{\Sigma}^2\) (Q1687204) (← links)
- Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: a normal reference \(L^2\)-norm based test (Q2057832) (← links)
- A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA (Q2076144) (← links)
- Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach (Q2135840) (← links)
- Testing high-dimensional mean vector with applications. A normal reference approach (Q2165834) (← links)
- Two-sample test in high dimensions through random selection (Q2241999) (← links)
- A test for the \(k\) sample Behrens-Fisher problem in high dimensional data (Q2317297) (← links)
- High-dimensional general linear hypothesis testing under heteroscedasticity (Q2407078) (← links)
- A Behrens-Fisher problem for general factor models in high dimensions (Q2692937) (← links)
- Two-sample behrens-fisher problem for high-dimensional data (Q3448709) (← links)
- A two-sample test for mean functions with increasing number of projections (Q4579990) (← links)
- High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data (Q6107199) (← links)
- A robust Hotelling test statistic for one sample case in high dimensional data (Q6114242) (← links)
- Two-sample multivariate tests for high-dimensional data when one covariance matrix is unknown (Q6171521) (← links)
- Multi-sample hypothesis testing of high-dimensional mean vectors under covariance heterogeneity (Q6580098) (← links)
