Pages that link to "Item:Q5177621"
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The following pages link to A New Test on High-Dimensional Mean Vector Without Any Assumption on Population Covariance Matrix (Q5177621):
Displaying 13 items.
- A two sample test in high dimensional data (Q137110) (← links)
- Linear hypothesis testing in high-dimensional one-way MANOVA (Q512013) (← links)
- A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices (Q525878) (← links)
- Testing of high dimensional mean vectors via approximate factor model (Q897642) (← links)
- A note on the unbiased estimator of \(\mathbf{\Sigma}^2\) (Q1687204) (← links)
- Robust two-sample test of high-dimensional mean vectors under dependence (Q1755128) (← links)
- Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: a normal reference \(L^2\)-norm based test (Q2057832) (← links)
- High-dimensional tests for mean vector: approaches without estimating the mean vector directly (Q2115215) (← links)
- A unified approach to testing mean vectors with large dimensions (Q2176339) (← 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)
- Simultaneous testing of mean vector and covariance matrix for high-dimensional data (Q2407080) (← links)
- A simultaneous testing of the mean vector and the covariance matrix among two populations for high-dimensional data (Q2414881) (← links)
