Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Точний критерій Фішера× | Тест Мак-Немара× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1922 | 1947 |
| Автор методу≠ | R. A. Fisher | Quinn McNemar |
| Тип≠ | Exact test of independence for categorical data | Nonparametric test for paired binary data |
| Основоположне джерело≠ | Fisher, R. A. (1922). On the interpretation of chi-squared from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94. DOI ↗ | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗ |
| Інші назви≠ | Fisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi |
| Пов'язані≠ | 2 | 5 |
| Підсумок≠ | Fisher's exact test is a nonparametric exact-probability test of independence for small-sample contingency tables, introduced by R. A. Fisher in 1922. Rather than relying on a large-sample approximation, it computes the exact probability of the observed table directly from the hypergeometric distribution. | McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes. |
| ScholarGateНабір даних ↗ |
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