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Phương pháp Bề mặt Đáp ứng (RSM)×Thiết kế giai thừa phân đoạn 2^(k-p)×
Lĩnh vựcThiết kế thí nghiệmThiết kế thí nghiệm
HọHypothesis testHypothesis test
Năm ra đời19511961
Người khởi xướngGeorge E. P. Box & K. B. WilsonGeorge E. P. Box and J. Stuart Hunter
LoạiSecond-order polynomial response surface modelScreening and economical factorial design
Công trình gốcBox, 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 ↗Box, G.E.P. & Hunter, J.S. (1961). The 2^(k-p) Fractional Factorial Designs. Technometrics, 3(3), 311–351. link ↗
Tên gọi khácRSM, Central Composite Design, Box-Behnken Design, CCD2^k-p design, fractional factorial, screening design, Kesirli Faktöriyel Desen (2^k-p Fractional Factorial)
Liên quan77
Tóm tắtResponse 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.The fractional factorial design is an economical experimental strategy that investigates k factors by running only a carefully chosen 1/2^p fraction of the full 2^k factorial experiment. Formalized by George E. P. Box and J. Stuart Hunter in their landmark 1961 Technometrics paper, it exploits the sparsity-of-effects principle — that high-order interactions are typically negligible — to screen many factors with far fewer runs than a complete factorial would require.
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ScholarGateSo sánh phương pháp: Response Surface Methodology · Fractional Factorial Design. Truy cập ngày 2026-06-18 từ https://scholargate.app/vi/compare