An affine‐invariant multivariate sign test for cluster correlated data

DOI10.2307/3315855zbMath1047.62056OpenAlexW2152620668MaRDI QIDQ4819899

Denis Larocque

Publication date: 5 October 2004

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

Full work available at URL: https://doi.org/10.2307/3315855

zbMATH Keywords

tablesintraclass correlationaffine invarianceone-way random effectsclustered observationsmultivariate location problemspatial sign test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15)

Related Items

Exact-permutation-based sign tests for clustered binary data via weighted and unweighted test statistics ⋮ Quantile inference based on clustered data ⋮ A weighted spatial median for clustered data ⋮ Two sample tests for the nonparametric Behrens–Fisher problem with clustered data ⋮ A Signed-Rank Test for Clustered Data ⋮ On the multivariate spatial median for clustered data ⋮ A weighted multivariate signed-rank test for cluster-correlated data ⋮ One-sample location tests for multilevel data ⋮ Robust R-Estimation of a Consensus Value from Multi-Center Studies ⋮ A general class of signed-rank tests for clustered data when the cluster size is potentially informative ⋮ Weighted rank tests and Hodges–Lehmann estimates for the multivariate two-sample location problem with clustered data

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