Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Гібридний план Бокса-Бенкена× | Центральний композиційний план× | |
|---|---|---|
| Галузь | Планування експерименту | Планування експерименту |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1960 (standard BBD); hybrid variants developed from 1970s onward | 1951 |
| Автор методу≠ | Box & Behnken (1960), extended by various authors for hybrid configurations | George E. P. Box and K. B. Wilson |
| Тип | Response surface experimental design | Response surface experimental design |
| Основоположне джерело≠ | Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475. DOI ↗ | Box, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society: Series B, 13(1), 1–45. DOI ↗ |
| Інші назви | Hybrid BBD, augmented Box-Behnken design, modified Box-Behnken design, extended BBD | CCD, Box-Wilson design, central composite response surface design, rotatable central composite design |
| Пов'язані≠ | 4 | 3 |
| Підсумок≠ | The Hybrid Box-Behnken Design (Hybrid BBD) is a three-level response surface design that extends the classical Box-Behnken Design by incorporating additional design points — such as axial, face-centered, or space-filling runs — to improve estimation efficiency, handle larger factor sets, or achieve better predictive coverage. It retains BBD's avoidance of extreme corner runs while gaining the flexibility needed for complex engineering optimization problems. | Central Composite Design (CCD) is a second-order response surface design that allows researchers to efficiently fit a full quadratic model relating multiple continuous input factors to one or more response variables. Introduced by Box and Wilson in 1951, it combines a factorial (or fractional factorial) core, axial (star) points, and center-point replicates into a single unified design, making it the most widely used design for process optimization in engineering, chemistry, and manufacturing. |
| ScholarGateНабір даних ↗ |
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