Rank procedures for a large number of treatments

DOI10.1016/j.jspi.2004.03.020zbMath1065.62017OpenAlexW2013829531MaRDI QIDQ1781507

Dörte Lankowski, Arne C. Bathke

Publication date: 27 June 2005

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.2004.03.020

zbMATH Keywords

Analysis of varianceNonnormalityNonparametric modelsRank statisticsType I error robustness

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Analysis of variance and covariance (ANOVA) (62J10) Asymptotic properties of parametric tests (62F05)

Related Items (8)

STATISTICAL INFERENCE WITH F-STATISTICS WHEN FITTING SIMPLE MODELS TO HIGH-DIMENSIONAL DATA ⋮ High-dimensional rank-based inference ⋮ A nonparametric version of Wilks' lambda -- asymptotic results and small sample approximations ⋮ Nonparametric methods in multivariate factorial designs for large number of factor levels ⋮ Testing homogeneity of proportions from sparse binomial data with a large number of groups ⋮ Rank procedures for a large number of treatments ⋮ Testing the homogeneity of risk differences with sparse count data ⋮ A comprehensive treatment of quadratic-form-based inference in repeated measures designs under diverse asymptotics

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