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Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Faktoriální víceramenný experiment×Úplný faktoriálový experiment×
OborPlánování experimentůPlánování experimentů
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1926 (factorial basis); multi-arm factorial trials formalized 1980s–1990s1926 (Fisher's foundational paper); codified by the 1950s–1960s
TvůrceR. A. Fisher (factorial foundations); multi-arm extension established in clinical trial methodologyRonald A. Fisher
TypExperimental designExperimental design
Původní zdrojMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Další názvymulti-arm factorial trial, factorial multi-arm trial, multi-arm factorial experiment, MAFTfull factorial design, complete factorial design, 2^k factorial design, FFD
Příbuzné66
ShrnutíA factorial multi-arm experiment simultaneously tests multiple factors (each at two or more levels) by assigning participants to distinct arms that represent unique combinations of those factors. This design efficiently estimates the independent main effects of each factor and their interactions, all within a single study — making it far more informative than running separate one-factor experiments.A 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.
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ScholarGatePorovnat metody: Factorial Multi-Arm Experiment · Full Factorial Experiment. Získáno 2026-06-18 z https://scholargate.app/cs/compare