विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| कारक नियंत्रण समूह प्रायोगिक डिज़ाइन× | आंशिक गुणनखंड प्रयोग× | |
|---|---|---|
| क्षेत्र | प्रयोगात्मक अभिकल्प | प्रयोगात्मक अभिकल्प |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1926–1935 | 1945 (Finney); broader development 1950s–1970s by Box, Hunter |
| प्रवर्तक≠ | Ronald A. Fisher | D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work |
| प्रकार≠ | Experimental design | Quantitative experimental design |
| मौलिक स्रोत≠ | 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 |
| उपनाम | factorial controlled experiment, factorial design with control, factorial RCT with control arm, multi-factor controlled experiment | fractional factorial design, FFD, 2^(k-p) design, fractional replication |
| संबंधित≠ | 6 | 4 |
| सारांश≠ | A factorial control group experimental design crosses two or more independent variables (factors) in a fully factorial structure while including at least one condition that serves as a no-treatment or standard-treatment control. This allows researchers to simultaneously estimate the main effect of each factor, their interactions, and the size of those effects relative to a meaningful baseline, maximising both causal precision and experimental efficiency. | 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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