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.
DOI
10.22237/jmasm/1367381160
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
