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	Metodologia Powierzchni Odpowiedzi (RSM)	Projekt frakcyjny czynnikowy 2^(k-p)
Dziedzina	Planowanie eksperymentów	Planowanie eksperymentów
Rodzina	Hypothesis test	Hypothesis test
Rok powstania	1951	1961
Twórca	George E. P. Box & K. B. Wilson	George E. P. Box and J. Stuart Hunter
Typ	Second-order polynomial response surface model	Screening and economical factorial design
Źródło pierwotne	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.	Box, G.E.P. & Hunter, J.S. (1961). The 2^(k-p) Fractional Factorial Designs. Technometrics, 3(3), 311–351.
Inne nazwy	RSM, Central Composite Design, Box-Behnken Design, CCD	2^k-p design, fractional factorial, screening design, Kesirli Faktöriyel Desen (2^k-p Fractional Factorial)
Pokrewne	7	7
Podsumowanie	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.	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.