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.
Mickelson, William T.
"A Monte Carlo Simulation of the Robust Rank-Order Test Under Various Population Symmetry Conditions,"
Journal of Modern Applied Statistical Methods:
1, Article 7.
Available at: http://digitalcommons.wayne.edu/jmasm/vol12/iss1/7