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| Thí nghiệm phân đoạn theo yếu tố nhân tử thí điểm× | Phương pháp Bề mặt Đáp ứng (RSM)× | |
|---|---|---|
| Lĩnh vực | Thiết kế thí nghiệm | Thiết kế thí nghiệm |
| Họ≠ | Process / pipeline | Hypothesis test |
| Năm ra đời≠ | 1950s–1960s (fractional factorial foundation); pilot study integration formalized in 20th century DOE practice | 1951 |
| Người khởi xướng≠ | Box, Hunter & Hunter (fractional factorial); pilot study concept developed broadly in industrial and clinical experimentation | George E. P. Box & K. B. Wilson |
| Loại≠ | Experimental screening design (pilot phase) | Second-order polynomial response surface model |
| Công trình gốc≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 | 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. link ↗ |
| Tên gọi khác≠ | pilot FFE, screening pilot design, pilot fractional factorial, pilot FF screening study | RSM, Central Composite Design, Box-Behnken Design, CCD |
| Liên quan≠ | 5 | 7 |
| Tóm tắt≠ | 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. | Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics. |
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