ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

要因実験×フルファクトリアル実験×
分野実験計画法実験計画法
系統Process / pipelineProcess / pipeline
提唱年1926–19351926 (Fisher's foundational paper); codified by the 1950s–1960s
提唱者Ronald A. FisherRonald A. Fisher
種類Quantitative experimental designExperimental design
原典Fisher, 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
別名factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor designfull factorial design, complete factorial design, 2^k factorial design, FFD
関連66
概要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.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.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Factorial Experiment · Full Factorial Experiment. 2026-06-18に以下より取得 https://scholargate.app/ja/compare