Сравнение методов

	Дробный факторный эксперимент 2^(k-p)	Однофакторный дисперсионный анализ
Область	Планирование эксперимента	Статистика
Семейство	Hypothesis test	Hypothesis test
Год появления	1961	1925
Автор метода	George E. P. Box and J. Stuart Hunter	Ronald A. Fisher
Тип	Screening and economical factorial design	Parametric mean comparison
Основополагающий источник	Box, G.E.P. & Hunter, J.S. (1961). The 2^(k-p) Fractional Factorial Designs. Technometrics, 3(3), 311–351.	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
Другие названия	2^k-p design, fractional factorial, screening design, Kesirli Faktöriyel Desen (2^k-p Fractional Factorial)	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Связанные	7	4
Сводка	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.	One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.