Nonparametric tests for the general multivariate multi-sample problem

DOI10.1080/10485250903111684zbMath1172.62016OpenAlexW2140666187MaRDI QIDQ3182740

Zheng Yan Lin, Caiya Zhang, Jianjun Wu

Publication date: 16 October 2009

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250903111684

zbMATH Keywords

affine invariantnonparametric testdata depthLiu-Singh statisticmultivariate multi-sample problem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15)

Related Items (4)

A test based on data depth for testing location-scale of the two multivariate populations ⋮ Smoothed ranks for two or multi-sample location problems ⋮ Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis ⋮ Nonparametric tests for multivariate multi-sample locations based on data depth

Cites Work

• Unnamed Item
• Permutation tests for multivariate location problems
• On distribution-free tests for the multivariate two-sample location-scale model
• General notions of statistical depth function.
• On the limiting distributions of multivariate depth-based rank sum statistics and related tests
• A Quality Index Based on Data Depth and Multivariate Rank Tests

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