방법 증거 기록

Response Surface Methodology

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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원본 기록

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Response Surface Methodology (RSM)

분류학적 방법 기록 · hypothesis-test / experimental-design

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. · URL
Myers, R. H., Montgomery, D. C. & Anderson-Cook, C. M. (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments (4th ed.). Wiley. · ISBN 978-1118916032

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Same method familyFractional Factorial Designmachine-suggested · Relational suggestion, not evidence.Same method familyFull Factorial Designmachine-suggested · Relational suggestion, not evidence.Same method familyLatin Square Designmachine-suggested · Relational suggestion, not evidence.See alsoMultiple Linear Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOne-way ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyTaguchi Methodmachine-suggested · Relational suggestion, not evidence.Same method familyTwo-Way ANOVAmachine-suggested · Relational suggestion, not evidence.