Limitations of the rank transform statistic in tests for interactions

DOI10.1080/03610918708812642zbMath0695.62052OpenAlexW2026791931MaRDI QIDQ3471370

R. Clifford Blair, Shlomo S. Sawilowsky, James J. Higgins

Publication date: 1987

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918708812642

zbMATH Keywords

robustnesspowerinteractionanalysis of variance

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Design of statistical experiments (62Kxx)

Related Items (17)

Properties of the rank transformation in factorial analysis of covariance ⋮ A note on consistency of non-parametric rank tests and related rank transformations ⋮ Robust analysis of two-way models with repeated measures on both factors ⋮ Comparison of nonparametric analysis of variance methods: A vote for van der Waerden ⋮ The aligned rank transform and discrete variables: A warning ⋮ Choosing appropriate covariance matrices in a nonparametric analysis of factorials in block designs ⋮ Nonparametric alternatives to the f statistic in analysis of variance ⋮ An empirical study of five multivariate tests for the single-factor repeated measures model ⋮ A comparative study of some rank tests for interaction ⋮ Robust and powerful nonorthogonal analyses ⋮ Comparison of aligned Friedman rank and parametric methods for testing interactions in split-plot designs ⋮ A study of the power of the rank transform test in a 2³factorial experiment ⋮ Nonparametric methods in factorial designs ⋮ Nearly exact tests in factorial experiments using the aligned rank transform ⋮ A nonparametric test for interaction in two-way layouts ⋮ Rank‐based test procedures for interaction in the two‐way layout with one observation per cell ⋮ A class of rank-score tests in factorial designs

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