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Eksperiment s frakcijskim faktorijelom×Metodologija površinskog odziva (RSM)×
PodručjeEksperimentalni dizajnEksperimentalni dizajn
ObiteljProcess / pipelineHypothesis test
Godina nastanka1945 (Finney); broader development 1950s–1970s by Box, Hunter1951
TvoracD. J. Finney (formal development); foundations in Ronald Fisher's factorial design workGeorge E. P. Box & K. B. Wilson
VrstaQuantitative experimental designSecond-order polynomial response surface model
Temeljni izvorBox, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130Box, 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 ↗
Drugi nazivifractional factorial design, FFD, 2^(k-p) design, fractional replicationRSM, Central Composite Design, Box-Behnken Design, CCD
Srodne47
SažetakA fractional factorial experiment is a resource-efficient experimental design that tests only a carefully chosen fraction of all possible factor-level combinations. By exploiting the principle that high-order interactions are usually negligible, it identifies the main effects and low-order interactions of k factors using far fewer runs than a full factorial design — making it the workhorse of industrial and engineering screening experiments.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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ScholarGateUsporedite metode: Fractional Factorial Experiment · Response Surface Methodology. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare