ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

全因子实验×析因实验×
领域实验设计实验设计
方法族Process / pipelineProcess / pipeline
起源年份1926 (Fisher's foundational paper); codified by the 1950s–1960s1926–1935
提出者Ronald A. FisherRonald A. Fisher
类型Experimental designQuantitative experimental design
开创性文献Box, 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 ↗
别名full factorial design, complete factorial design, 2^k factorial design, FFDfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
相关66
摘要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.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.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Full Factorial Experiment · Factorial Experiment. 于 2026-06-18 检索自 https://scholargate.app/zh/compare