Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Критерий нормальности Шапиро-Уилка× | Однофакторный дисперсионный анализ× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1965 | 1925 |
| Автор метода≠ | S. S. Shapiro & M. B. Wilk | Ronald A. Fisher |
| Тип≠ | Normality (goodness-of-fit) test | Parametric mean comparison |
| Основополагающий источник≠ | Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591–611. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Другие названия≠ | Shapiro-Wilk W test, W test for normality, Shapiro-Wilk normallik testi | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Связанные≠ | 2 | 4 |
| Сводка≠ | The Shapiro-Wilk test is a hypothesis test that checks whether a continuous variable was drawn from a normal distribution. It was introduced by Samuel Shapiro and Martin Wilk in 1965 and is regarded as one of the most powerful normality tests, recommended for sample sizes below 5000. | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. |
| ScholarGateНабор данных ↗ |
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