A note on consistency of non-parametric rank tests and related rank transformations

DOI10.1111/j.2044-8317.2011.02017.xzbMath1245.62051OpenAlexW2163998574WikidataQ51575483 ScholiaQ51575483MaRDI QIDQ2905130

Donald W. Zimmerman

Publication date: 24 August 2012

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.2044-8317.2011.02017.x

Mathematics Subject Classification ID

Related Items (1)

Fuzzy linear regression using rank transform method

Uses Software

• Mathematica

Cites Work

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• Nonparametric methods for unbalanced multivariate data and many factor levels
• Nonparametric methods in multivariate factorial designs for large number of factor levels
• The F Statistic in the Two-Way Layout with Rank-Score Transformed Data
• Limitations of the rank transform statistic in tests for interactions
• The Rank Transform Method in Some Two-Factor Designs
• Efficacies of Rank-Transform Statistics in Two-Way Models with No Interaction
• Asymptotic theory of weightedF-statistics based on ranks
• Asymptotic Relative Efficiencies of the Rank-Transformation Procedure in Randomized Complete Block Designs
• The rank transformation as a method of discrimination with some examples
• Rank Transformations as a Bridge Between Parametric and Nonparametric Statistics
• A note on the rank transform for interactions
• A Monte Carlo Test of the Robustness of Parametric and Nonparametric Analysis of Covariance Against Unequal Regression Slopes
• The Analysis of Ranked Data Derived from Completely Randomized Factorial Designs
• New approximations to the exact distribution of the kruskal-wallis test statistic
• Fully Nonparametric Hypotheses for Factorial Designs I: Multivariate Repeated Measures Designs
• Nonparametric Hypotheses and Rank Statistics for Unbalanced Factorial Designs
• Use of a t-statistic as an approximation to the exact distribution of the wildcoxon signed ranks test statistic
• Simplified interaction tests for non‐normal data in psychological research

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