Comparison of Some Multivariate Nonparametric Tests in Profile Analysis to Repeated Measurements Publisher



Vossoughi M¹ ; Shahvali S² ; Sadeghi E³
Source: Journal of Modern Applied Statistical Methods Published:2016

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 T 2 under multivariate normal distribution. For the heavy tailed distribution, the tests based on signs performed best.