A feasible high dimensional randomization test for the mean vector

DOI10.1016/J.JSPI.2018.06.003zbMath1421.62007OpenAlexW2811368035MaRDI QIDQ2317248

Xingzhong Xu, Rui Wang

Publication date: 9 August 2019

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2018.06.003

zbMATH Keywords

randomization testhigh dimensionasymptotic power functionsymmetry assumption

Mathematics Subject Classification ID

Theory of statistical experiments (62B15) Sampling theory, sample surveys (62D05)

Related Items (3)

Testing high-dimensional mean vector with applications. A normal reference approach ⋮ Dimension-agnostic inference using cross U-statistics ⋮ Unnamed Item

Uses Software

• GSA

Cites Work

• Unnamed Item
• Unnamed Item
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• Tests for High-Dimensional Covariance Matrices
• A High-Dimensional Nonparametric Multivariate Test for Mean Vector
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• Convergence of stochastic processes

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