On multivariate signed rank tests

DOI10.1080/1048525042000267806zbMath1055.62067OpenAlexW2552580775MaRDI QIDQ4651098

Ronald Herman Randles, Ziyad R. Mahfoud

Publication date: 21 February 2005

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

Full work available at URL: https://doi.org/10.1080/1048525042000267806

zbMATH Keywords

affine-invariancerank statisticsPitman efficienciesone-sample location

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15)

Related Items

Projection-based high-dimensional sign test, Non‐parametric depth‐based tests for the multivariate location problem, Testing for diagonal symmetry based on center-outward ranking, Affine invariant depth-based tests for the multivariate one-sample location problem, Two-sample spatial rank test using projection, Practical tests for randomized complete block designs

Cites Work

• A distribution-free M-estimator of multivariate scatter
• Optimal tests for multivariate location based on interdirections and pseudo-Mahalanobis ranks.
• A multivariate signed sum test for theone-sample location problem
• Generalizing univariate signed rank statistics for testing and estimating a multivariate location parameter
• A Distribution-Free Multivariate Sign Test Based on Interdirections
• A Multivariate Signed-Rank Test for the One-Sample Location Problem
• Affine-Invariant Multivariate One-Sample Signed-Rank Tests
• The Generalization of Student's Ratio
• A Simpler, Affine-Invariant, Multivariate, Distribution-Free Sign Test