手法を比較

	実験計画法	分散分析（ANOVA）
分野	実験計画法	研究統計
系統	Process / pipeline	Process / pipeline
提唱年	1935	1925
提唱者	Ronald A. Fisher	Ronald A. Fisher
種類	Experimental planning framework	Method
原典	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.	Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver and Boyd.
別名	DOE, experimental design, factorial experimentation, planned experimentation	ANOVA, F-test
関連	3	4
概要	Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.	ANOVA is a parametric statistical method developed by Ronald A. Fisher in 1925 that tests whether means differ significantly across three or more independent groups. By partitioning total variance into between-group and within-group components, ANOVA determines whether observed differences are likely due to treatment effects or random variation, making it fundamental to comparative research across medicine, psychology, agriculture, and engineering.