方法对比
并排查看您选择的方法;存在差异的行会高亮显示。
| 区组完全析因实验× | 析因实验× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1935 (Fisher); systematized through 20th-century DOE literature | 1926–1935 |
| 提出者≠ | R. A. Fisher (blocking principle); full factorial DOE tradition | Ronald A. Fisher |
| 类型≠ | Experimental design | Quantitative experimental design |
| 开创性文献≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| 别名 | blocked full factorial design, full factorial with blocking, complete factorial blocked design, BFF design | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| 相关≠ | 4 | 6 |
| 摘要≠ | A blocked full factorial experiment tests every combination of all factor levels while grouping experimental runs into homogeneous blocks to isolate a known nuisance variable. This design preserves the power to detect all main effects and interactions of the factors of interest while preventing batch-to-batch, day-to-day, or machine-to-machine variability from inflating experimental error. | 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. |
| ScholarGate数据集 ↗ |
|
|