方法对比

	混合型Box-Behnken设计	响应面方法 (RSM)
领域	实验设计	实验设计
方法族	Process / pipeline	Hypothesis test
起源年份	1960 (standard BBD); hybrid variants developed from 1970s onward	1951
提出者	Box & Behnken (1960), extended by various authors for hybrid configurations	George E. P. Box & K. B. Wilson
类型	Response surface experimental design	Second-order polynomial response surface model
开创性文献	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.	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.
别名	Hybrid BBD, augmented Box-Behnken design, modified Box-Behnken design, extended BBD	RSM, Central Composite Design, Box-Behnken Design, CCD
相关	4	7
摘要	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.	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.