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| Titel: |
Comparison of some two sample means tests by simulation |
| Auteur: |
Murphy, B. P. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 5 (1976) nr. 1 pagina's 23-32 |
| Jaar: |
1976 |
| Inhoud: |
The usual t-test for testing that two samples come from a common normal population cannot be used to test H0: μ1 = μ2 for two samples drawn respectively from normal populations [image omitted] if [image omitted] . Many solutions to this problem, known as the two sample or Fisher-Behrens problem after Fisher's (1935b) solution, have been advanced and we examine here the Aspin-Welch (AW) solution and the distribution free Wilcoxon-Mann-Whitney (WMW) test, which latter is commonly, but incorrectly, taught and used as an approximate solution to the problem. It is shown here in a simulation context that the AW test is a highly acceptable practical procedure while the WMW test is definitely not. Some results on testing means when samples are drawn from non-normal populations are also discussed. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 4 van 9 gevonden artikelen
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