Abstract
Through Monte Carlo simulations, the performance of six multivariate nonparametric tests for testing the hypothesis of parallelism in profile analysis was studied. In conclusion, the tests based on ranks were as efficient as Hotelling's T2 under multivariate normal distribution. For the heavy tailed distribution, the tests based on signs performed best.
DOI
10.22237/jmasm/1478002620
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
