Using orthogonal trend contrasts for testing ranked data with ordered alternatives

DOI10.1111/j.1467-9574.2012.00525.xMaRDI QIDQ6647324

J. C. W. Rayner, Olivier Thas, D. J. Best

Publication date: 3 December 2024

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

randomized blocksPearson testumbrella testprobabilistic indexlocation-shift modelpage testbalanced incomplete blocks Durbin test Friedman testindependent samples layout

Mathematics Subject Classification ID

Statistics (62-XX) Applications of statistics (62Pxx) Nonparametric inference (62Gxx)

Cites Work

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• The use of ranks to avoid the assumption of normality implicit in the analysis of variance.
• Orthogonal Components of the Kruskal‐Wallis and Related K‐sample Linear Rank Statistics
• Tests for Patterned Alternatives in k-Sample Problems
• Ordered Hypotheses for Multiple Treatments: A Significance Test for Linear Ranks
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
• Consistency and Unbiasedness of Certain Nonparametric Tests
• Use of Ranks in One-Criterion Variance Analysis
• A DISTRIBUTION-FREE k-SAMPLE TEST AGAINST ORDERED ALTERNATIVES

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