A new test for the mean vector in large dimension and small samples

DOI10.1080/03610918.2016.1197244zbMath1462.62349OpenAlexW2494486577MaRDI QIDQ4638809

Junguang Zhao

Publication date: 30 April 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1197244

zbMATH Keywords

high dimensiontesting mean vectorHotelling \(T^{2}\) test

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Asymptotic properties of parametric tests (62F05)

Related Items (2)

Testing high-dimensional mean vector with applications. A normal reference approach ⋮ Distribution and correlation-free two-sample test of high-dimensional means

Cites Work

• A high-dimensional two-sample test for the mean using random subspaces
• A two-sample test for high-dimensional data with applications to gene-set testing
• A test for the mean vector with fewer observations than the dimension
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