Pages that link to "Item:Q394093"

The following pages link to Testing linear hypotheses of mean vectors for high-dimension data with unequal covariance matrices (Q394093):

Displaying 36 items.

• A two sample test in high dimensional data (Q137110) (← 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 simultaneous test of mean vector and covariance matrix in high-dimensional settings (Q830690) (← links)
• Two-sample Behrens-Fisher problems for high-dimensional data: a normal reference approach (Q830717) (← links)
• On LR simultaneous test of high-dimensional mean vector and covariance matrix under non-normality (Q1726809) (← links)
• Inference for high-dimensional split-plot-designs: a unified approach for small to large numbers of factor levels (Q1786575) (← links)
• On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings (Q1795576) (← links)
• Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: a normal reference \(L^2\)-norm based test (Q2057832) (← links)
• Test on the linear combinations of covariance matrices in high-dimensional data (Q2066518) (← links)
• Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach (Q2135840) (← links)
• A high-dimensional test on linear hypothesis of means under a low-dimensional factor model (Q2142461) (← links)
• A rank-based high-dimensional test for equality of mean vectors (Q2143018) (← links)
• Testing linear hypothesis of high-dimensional means with unequal covariance matrices (Q2151597) (← links)
• Testing the equality of multivariate means when \(p>n\) by combining the Hotelling and Simes tests (Q2161019) (← links)
• Testing high-dimensional mean vector with applications. A normal reference approach (Q2165834) (← links)
• A unified approach to testing mean vectors with large dimensions (Q2176339) (← links)
• Two-way MANOVA with unequal cell sizes and unequal cell covariance matrices in high-dimensional settings (Q2196118) (← links)
• On error bounds for high-dimensional asymptotic distribution of \(L_2\)-type test statistic for equality of means (Q2288792) (← links)
• Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model (Q2329874) (← links)
• Testing homogeneity of mean vectors under heteroscedasticity in high-dimension (Q2350049) (← 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)
• On Test Statistics in Profile Analysis with High-dimensional Data (Q2828780) (← links)
• (Q3169949) (← 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)
• Test of linear trend in eigenvalues of a covariance matrix with application to data analysis (Q4364017) (← links)
• A one-sample location test based on weighted averaging of two test statistics when the dimension and the sample size are large (Q4976231) (← links)
• (Q5011279) (← links)
• A New Test on High-Dimensional Mean Vector Without Any Assumption on Population Covariance Matrix (Q5177621) (← links)
• Tests for parallelism and flatness hypotheses of two mean vectors in high-dimensional settings (Q5222399) (← links)
• Normalizing transformation of Dempster type statistic in high-dimensional settings (Q6053901) (← links)
• A generalized likelihood ratio test for linear hypothesis of <i>k</i> -sample means in high dimension (Q6089135) (← links)
• Linear Hypothesis Testing in Linear Models With High-Dimensional Responses (Q6110696) (← links)
• A scale-invariant test for linear hypothesis of means in high dimensions (Q6581340) (← links)