Abstract
A Monte Carlo study was done to find the Type I error rates for three nonparametric procedures for making k − 1 many-one comparisons in a one-way design. The tests ( t) were the Silverstein and Steel many-one ranks tests and the two-sample Wilcoxon rank-sum test, k = 3, 5, 7, and 10 treatments were crossed with n = 7, 10, and 15 replicates with 1000 simulations per k, n combination. Analyses of four Type I error rates showed that: (1) The Wilcoxon test had the best comparisonwise error rates; (2) none of the tests functioned well as protected tests; and (3) the Silverstein test had the best experimentwise error rates and was the recommended procedure for many-one tests for a one-way layout.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
