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Автор Overall, John E.
Автор Starbuck, Robert R.
Дата выпуска 1983
dc.description A binomial model is proposed for testing the significance of differences in binary response probabilities in two independent treatment groups. Without correction for continuity, the binomial statistic is essentially equivalent to Fisher's exact probability. With correction for continuity, the binomial statistic approaches Pearson's chi-square. Due to mutual dependence of the binomial and F distributions on the beta distribution, a simple F statistic can be used for computation instead of the binomial.
Издатель Sage Publications
Тема 2×2 table
Тема Binomial test
Тема Continuity correction
Тема Homogeneity test
Название F-Test Alternatives to Fisher's Exact Test and to the Chi-Square Test of Homogeneity in 2 × 2 Tables
Тип Research Article
DOI 10.3102/10769986008001059
Print ISSN 1076-9986
Журнал Journal of Educational Statistics
Том 8
Первая страница 59
Последняя страница 73
Аффилиация Overall, John E., University of Texas Medical School, Houston
Аффилиация Starbuck, Robert R., Burroughs-Wellcome Co. Research Triangle Park, N.C
Выпуск 1
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Библиографическая ссылка Garside, GR, and C Mack (1976). Actual Type I error probabilities for various tests in the homogeneity case of the 2 × 2 contingency table. The American Statistician, 30(1), 18-21.
Библиографическая ссылка Grizzle, J (1967). Continuity correction in the x 2-test for 2 × 2 tables. The American Statistician, 21(4), 28-32.
Библиографическая ссылка Guenther, WC (1977). Some probabilities available from desk calculators and their relation to tables. The American Statistician, 31(2), 41-45.
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Библиографическая ссылка Tocher, KD (1950). Extension of the Neyman-Pearson theory of tests to discontinuous variates. Biometrika, 27, 130-144.

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