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요인 실험×일부 요인 실험×
분야실험설계실험설계
계열Process / pipelineProcess / pipeline
기원 연도1926–19351945 (Finney); broader development 1950s–1970s by Box, Hunter
창시자Ronald A. FisherD. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
유형Quantitative experimental designQuantitative experimental design
원전Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
별칭factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor designfractional factorial design, FFD, 2^(k-p) design, fractional replication
관련64
요약A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect.A 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.
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ScholarGate방법 비교: Factorial Experiment · Fractional Factorial Experiment. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare