A comparison of recent nonparametric methods for testing effects in two-by-two factorial designs

DOI10.1080/02664763.2018.1555575OpenAlexW2905533304WikidataQ128702232 ScholiaQ128702232MaRDI QIDQ5036656

Solomon W. Harrar, Luigi Salmaso, Fabrizio Ronchi

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2018.1555575

zbMATH Keywords

simulationpowerANOVApermutationfactorial designrank methods

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items

More powerful logrank permutation tests for two-sample survival data, Permutation test for the multivariate coefficient of variation in factorial designs, QANOVA: quantile-based permutation methods for general factorial designs

Uses Software

• R
• pwr
• G*Power 3
• ARTool
• GFD
• GitHub

Cites Work

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• Rank Transformations as a Bridge Between Parametric and Nonparametric Statistics
• Box-Type Approximations in Nonparametric Factorial Designs
• Synchronized Permutation Tests in 2^kFactorial Designs
• Optimal Designs to Develop and Support an Experimental Strategy on Innovation of Thermoforming Production Process
• A Comparison of Efficient Permutation Tests for Unbalanced ANOVA in Two by Two Designs and Their Behavior Under Heteroscedasticity
• Asymptotic Permutation Tests in General Factorial Designs