手法を比較

	2^(k-p) 分割要因計画	二元配置分散分析 (Two-Way ANOVA)
分野	実験計画法	統計学
系統	Hypothesis test	Hypothesis test
提唱年	1961	1925
提唱者	George E. P. Box and J. Stuart Hunter	Ronald A. Fisher
種類	Screening and economical factorial design	Parametric factorial mean comparison
原典	Box, G.E.P. & Hunter, J.S. (1961). The 2^(k-p) Fractional Factorial Designs. Technometrics, 3(3), 311–351.	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
別名	2^k-p design, fractional factorial, screening design, Kesirli Faktöriyel Desen (2^k-p Fractional Factorial)	factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA
関連	7	6
概要	The fractional factorial design is an economical experimental strategy that investigates k factors by running only a carefully chosen 1/2^p fraction of the full 2^k factorial experiment. Formalized by George E. P. Box and J. Stuart Hunter in their landmark 1961 Technometrics paper, it exploits the sparsity-of-effects principle — that high-order interactions are typically negligible — to screen many factors with far fewer runs than a complete factorial would require.	Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors.