Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: a normal reference \(L^2\)-norm based test

DOI10.1016/j.jmva.2021.104816zbMath1480.62108OpenAlexW3196706915MaRDI QIDQ2057832

Bu Zhou, Jia Guo, Jin-Ting Zhang

Publication date: 7 December 2021

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2021.104816

zbMATH Keywords

high-dimensional dataone-way MANOVAWelch-Satterthwaite \(\chi^2\)-approximation\( \chi^2\)-type mixture\( L^2\)-norm based test

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Analysis of variance and covariance (ANOVA) (62J10) Asymptotic properties of parametric tests (62F05)

Related Items (1)

Quantile-based MANOVA: a new tool for inferring multivariate data in factorial designs

Uses Software

• penalizedLDA

Cites Work

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