Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Факторный эксперимент× | Дробный факторный эксперимент× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1926–1935 | 1945 (Finney); broader development 1950s–1970s by Box, Hunter |
| Автор метода≠ | Ronald A. Fisher | D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work |
| Тип | Quantitative experimental design | Quantitative experimental design |
| Основополагающий источник≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ | Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130 |
| Другие названия | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design | fractional factorial design, FFD, 2^(k-p) design, fractional replication |
| Связанные≠ | 6 | 4 |
| Сводка≠ | A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect. | A fractional factorial experiment is a resource-efficient experimental design that tests only a carefully chosen fraction of all possible factor-level combinations. By exploiting the principle that high-order interactions are usually negligible, it identifies the main effects and low-order interactions of k factors using far fewer runs than a full factorial design — making it the workhorse of industrial and engineering screening experiments. |
| ScholarGateНабор данных ↗ |
|
|