(2016) Comparison of Some Multivariate Nonparametric Tests in Profile Analysis to Repeated Measurements. Journal of Modern Applied Statistical Methods. pp. 273-292. ISSN 1538-9472
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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.
| Item Type: | Article |
|---|---|
| Keywords: | monte carlo simulation multivariate nonparametric profile analysis heavy tailed growth curve data rank-tests monte-carlo location problem efficiency variance sign hypothesis robustness univariate |
| Page Range: | pp. 273-292 |
| Journal or Publication Title: | Journal of Modern Applied Statistical Methods |
| Journal Index: | ISI |
| Volume: | 15 |
| Number: | 2 |
| Identification Number: | https://doi.org/10.22237/jmasm/1478002620 |
| ISSN: | 1538-9472 |
| Depositing User: | مهندس مهدی شریفی |
| URI: | http://eprints.mui.ac.ir/id/eprint/2279 |
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