Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Робастный точный тест Фишера× | Хи-квадрат тест независимости× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1935 (base); mid-p robustification 1961+ | 1900 |
| Автор метода≠ | Fisher (1935); mid-p extension by Lancaster (1961) and others | Karl Pearson |
| Тип≠ | Robust exact conditional test | Nonparametric test of association |
| Основополагающий источник≠ | Agresti, A. (2002). Categorical Data Analysis (2nd ed.). Wiley-Interscience. ISBN: 978-0471360933 | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗ |
| Другие названия | mid-p Fisher's exact test, robust exact test for contingency tables, conditional robust Fisher test, Fisher mid-p test | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| Связанные≠ | 3 | 2 |
| Сводка≠ | The robust Fisher's exact test extends Fisher's classic exact test for contingency tables by applying conservative-correcting adjustments — most commonly the mid-p correction — to reduce the extreme conservatism of the standard exact test. This produces better-calibrated Type I error rates while maintaining validity in small and sparse samples. | The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900. |
| ScholarGateНабор данных ↗ |
|
|