Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Experiment factorial de teren× | Experiment factorial fracționat× | |
|---|---|---|
| Domeniu | Design experimental | Design experimental |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1920s–1935 (Fisher's foundational work); widely applied through 20th century | 1945 (Finney); broader development 1950s–1970s by Box, Hunter |
| Autorul original≠ | Ronald A. Fisher (factorial principle); extended to field settings in agricultural and social sciences | D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work |
| Tip≠ | Experimental design | Quantitative experimental design |
| Sursa seminală≠ | 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 |
| Denumiri alternative | factorial design in the field, field factorial design, multi-factor field trial, factorial field trial | fractional factorial design, FFD, 2^(k-p) design, fractional replication |
| Înrudite≠ | 5 | 4 |
| Rezumat≠ | A factorial field experiment applies factorial experimental design — simultaneously manipulating two or more independent factors across all combinations of their levels — in a real-world field setting rather than a controlled laboratory. It allows researchers to estimate both main effects and interaction effects of multiple factors on an outcome under ecologically valid conditions, making findings directly relevant to practice. | 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. |
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