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| Titel: |
Analysis of binary data for the balanced one-way classification |
| Auteur: |
Shah, Arvind K. Claypool, P.L. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 13 (1984) nr. 11 pagina's 1375-1390 |
| Jaar: |
1984 |
| Inhoud: |
A test is proposed for testing the equality of proportions based on the data available from a one-way classification having t treatment conditions and n binary observations per treatment. The test statistic B is a constant multiple of the F-statistic which results when the analysis of variance procedure for the one-way classification is applied to the data and, hence, is computationally simple. The statistic B from this binary analysis of variance (BIANOVA) is distributed asymptotically as a chi-square random variable. The proposed test is uniformly more powerful than either the F-test indicated above or the Pearson chi-square test; however, the attained empirical level of significance is frequently higher than for either of these competitors and usually higher than the stated level of significance for smaller values of n (say n ≤ 20). |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 1 van 9 gevonden artikelen
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