A Monte Carlo Simulation of the Robust Rank-Order Test Under Various Population Symmetry Conditions

Abstract

The Type I Error Rate of the Robust Rank Order test under various population symmetry conditions is explored through Monte Carlo simulation. Findings indicate the test has difficulty controlling Type I error under generalized Behrens-Fisher conditions for moderately sized samples.