Pages that link to "Item:Q1663250"
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The following pages link to An adaptive test for the mean vector in large-\(p\)-small-\(n\) problems (Q1663250):
Displaying 11 items.
- 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 high-dimension two-sample test for the mean using cluster subspaces (Q1659362) (← links)
- Hotelling's \(T^2\) in separable Hilbert spaces (Q1661352) (← links)
- A test for the mean vector in large dimension and small samples (Q1937204) (← links)
- High-dimensional tests for mean vector: approaches without estimating the mean vector directly (Q2115215) (← links)
- Testing high-dimensional mean vector with applications. A normal reference approach (Q2165834) (← links)
- Distribution and correlation-free two-sample test of high-dimensional means (Q2196222) (← links)
- Tests for a Multiple-Sample Problem in High Dimensions (Q2815361) (← links)
- A new test for the mean vector in large dimension and small samples (Q4638809) (← links)
- An RIHT statistic for testing the equality of several high-dimensional mean vectors under homoskedasticity (Q6071712) (← links)
