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| Пилотен фракционен факторен експеримент× | Пълен факторен експеримент× | |
|---|---|---|
| Област | Планиране на експеримента | Планиране на експеримента |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1950s–1960s (fractional factorial foundation); pilot study integration formalized in 20th century DOE practice | 1926 (Fisher's foundational paper); codified by the 1950s–1960s |
| Създател≠ | Box, Hunter & Hunter (fractional factorial); pilot study concept developed broadly in industrial and clinical experimentation | Ronald A. Fisher |
| Тип≠ | Experimental screening design (pilot phase) | Experimental design |
| Основополагащ източник≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 | 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 |
| Други названия | pilot FFE, screening pilot design, pilot fractional factorial, pilot FF screening study | full factorial design, complete factorial design, 2^k factorial design, FFD |
| Свързани≠ | 5 | 6 |
| Резюме≠ | A pilot fractional factorial experiment is a small-scale preliminary study that uses a fractional factorial design — testing only a subset of all possible factor combinations — to screen multiple factors simultaneously before committing to a full-scale investigation. It provides early estimates of effect sizes, variance, and feasibility at substantially reduced cost and participant burden compared to a full factorial pilot or a full-scale trial. | A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome. |
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