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Details van artikel 2 van 16 gevonden artikelen
| Titel: |
A comparison of an adaptive two-sample test to the t-test and the rank-sum test |
| Auteur: |
O'gorman, Thomas W. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 26 (1997) nr. 4 pagina's 1393-1411 |
| Jaar: |
1997 |
| Inhoud: |
A two-sample test is proposed which has greater power than the commonly used tests for several stochastically ordered alternatives, including the shift alternative. The proposed test is an adaptive test which uses the order statistics within the two samples to determine a suitable score function for a rank test. This test is shown, by Monte Carlo studies, to maintain its significance level for many distributions and sample size configurations. The proposed test had the highest power or was within 5% of the highest power among the tests considered for 90.4% of the simulations. The corresponding percentages were 39.6% for the pooled t-test, 65.7% for the rank-sum test, 78.8% for the normal scores test, and 78.7% for the adaptive test of Hogg, Fisher, and Randies. These simulations also showed that Welch's t-test often failed to maintain its significance level. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 2 van 16 gevonden artikelen
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