Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Экспериментальный план с расщеплёнными делянками× | Однофакторный дисперсионный анализ× | |
|---|---|---|
| Область≠ | Планирование эксперимента | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1935 | 1925 |
| Автор метода≠ | Frank Yates | Ronald A. Fisher |
| Тип≠ | Parametric mixed-model ANOVA | Parametric mean comparison |
| Основополагающий источник≠ | Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Другие названия≠ | split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot) | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Связанные≠ | 6 | 4 |
| Сводка≠ | The split-plot design is a parametric experimental design that applies one factor to large whole plots and a second factor to subdivisions (sub-plots) within each whole plot. It was introduced by Frank Yates in 1935 to handle agricultural experiments where one factor — such as irrigation or tillage method — is difficult or impractical to change frequently, while a second factor can be varied more easily within the same plot. | 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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