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| Bruchfaktor-Experiment× | Faktorielles Experiment× | |
|---|---|---|
| Fachgebiet | Versuchsplanung | Versuchsplanung |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1945 (Finney); broader development 1950s–1970s by Box, Hunter | 1926–1935 |
| Urheber≠ | D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work | Ronald A. Fisher |
| Typ | Quantitative experimental design | Quantitative experimental design |
| Wegweisende Quelle≠ | 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 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Aliasnamen | fractional factorial design, FFD, 2^(k-p) design, fractional replication | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Verwandt≠ | 4 | 6 |
| Zusammenfassung≠ | 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. | 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. |
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