Two Monte Carlo Studies of Silverstein's Nonparametric Multiple Comparison Tests

Abstract

Two Monte Carlo studies were done to find the Type 1 error rates for Silverstein's nonparametric pairwise multiple-comparison tests for a one- and two-way layout with ranked data. Silverstein's tests had excellent experimentwise error rates but did not do as well as Wilcoxon's tests and the stepped-down sign test when pairwise comparisons were performed after significant over-all tests. Silverstein's tests were shown to be equivalent to recently proposed tests by Levy.