ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

Fuld Faktoriel Eksperiment×Faktorielt eksperiment×
FagområdeForsøgsdesignForsøgsdesign
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår1926 (Fisher's foundational paper); codified by the 1950s–1960s1926–1935
OphavspersonRonald A. FisherRonald A. Fisher
TypeExperimental designQuantitative experimental design
Oprindelig kildeBox, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Aliasserfull factorial design, complete factorial design, 2^k factorial design, FFDfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Relaterede66
ResuméA 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 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.
ScholarGateDatasæt
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: Full Factorial Experiment · Factorial Experiment. Hentet 2026-06-18 fra https://scholargate.app/da/compare