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

Authors

Mehrdad Vossoughi, Shiraz University of Medical Sciences, Shiraz, IranFollow
Shila Shahvali, Fars Planning and Budget Organization, Shiraz, Iran
Erfan Sadeghi, Isfahan University of Medical Sciences, Isfahan, Iran

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