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Fullständig faktoriell design×Bruten faktor experiment×
ÄmnesområdeFörsöksplaneringFörsöksplanering
FamiljProcess / pipelineProcess / pipeline
Ursprungsår1926 (Fisher's foundational paper); codified by the 1950s–1960s1945 (Finney); broader development 1950s–1970s by Box, Hunter
UpphovspersonRonald A. FisherD. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
TypExperimental designQuantitative experimental design
UrsprungskällaBox, 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., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Aliasfull factorial design, complete factorial design, 2^k factorial design, FFDfractional factorial design, FFD, 2^(k-p) design, fractional replication
Närliggande64
SammanfattningA full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome.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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ScholarGateJämför metoder: Full Factorial Experiment · Fractional Factorial Experiment. Hämtad 2026-06-19 från https://scholargate.app/sv/compare