Multifactor analysis of variance based on the aligned rank transform technique.
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Publication:1275533
DOI10.1016/S0167-9473(98)00077-2zbMath1042.62593OpenAlexW1978155315WikidataQ127475186 ScholiaQ127475186MaRDI QIDQ1275533
Publication date: 12 January 1999
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(98)00077-2
Nonparametric hypothesis testing (62G10) Factorial statistical designs (62K15) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (4)
Aligned Rank Transform Techniques for Analysis of Variance and Multiple Comparisons ⋮ Comparison of nonparametric analysis of variance methods: A vote for van der Waerden ⋮ Extended ANOVA and Rank Transform Procedures ⋮ Simultaneous inference based on rank statistics in linear models
Uses Software
Cites Work
- A comparative study of some rank tests for interaction
- Rank procedures for testing subhypotheses in linear regression
- Rank tests of sub-hypotheses in the general linear regression
- Aligned rank transform tests in linear models
- Rank Tests for Main and Interaction Effects in Analysis of Variance
- A Unified Approach to Rank Tests for Multivariate and Repeated Measures Designs
- The Rank Transform Method in Some Two-Factor Designs
- Rank Transformations as a Bridge Between Parametric and Nonparametric Statistics
- Asymptotically distribution-free aligned rank order tests for composite hypotheses for general multivariate linear models
- Fully Nonparametric Hypotheses for Factorial Designs I: Multivariate Repeated Measures Designs
- Nonparametric Hypotheses and Rank Statistics for Unbalanced Factorial Designs
- Nonparametric Estimate of Regression Coefficients
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