A monte carlo study of rank tests for repeated measures designs

DOI10.1080/03610919308813115zbMath0800.62236OpenAlexW1589073921MaRDI QIDQ4276185

Michael D. Ernst, James L. Kepner

Publication date: 19 January 1994

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

Full work available at URL: https://doi.org/10.1080/03610919308813115

zbMATH Keywords

Friedman's testKoch's statisticrank transformation statisticwithin block correlation

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Design of statistical experiments (62K99) Monte Carlo methods (65C05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items

Rank-based comparisons of treatments with a control for repeated measures designs, ANOVA with binary variables: the F-test and some alternatives, Testing for a change in repeated measures data, Practical tests for randomized complete block designs

Cites Work

• Nonparametric Methods for Detecting Treatment Effects in Repeated-Measures Designs
• Approximations of the critical region of the fbietkan statistic
• A Two-Sample Adaptive Distribution-Free Test
• Some Aspects of the Statistical Analysis of "Split Plot" Experiments in Completely Randomized Layouts