Сравнение методов

	Блокированный полный факторный эксперимент	Факторный эксперимент
Область	Планирование эксперимента	Планирование эксперимента
Семейство	Process / pipeline	Process / pipeline
Год появления	1935 (Fisher); systematized through 20th-century DOE literature	1926–1935
Автор метода	R. A. Fisher (blocking principle); full factorial DOE tradition	Ronald A. Fisher
Тип	Experimental design	Quantitative experimental design
Основополагающий источник	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Другие названия	blocked full factorial design, full factorial with blocking, complete factorial blocked design, BFF design	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Связанные	4	6
Сводка	A blocked full factorial experiment tests every combination of all factor levels while grouping experimental runs into homogeneous blocks to isolate a known nuisance variable. This design preserves the power to detect all main effects and interactions of the factors of interest while preventing batch-to-batch, day-to-day, or machine-to-machine variability from inflating experimental error.	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.