방법 비교

	Full Factorial Experiment	블록화된 완전 요인 설계 실험
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	1926 (Fisher's foundational paper); codified by the 1950s–1960s	1935 (Fisher); systematized through 20th-century DOE literature
창시자	Ronald A. Fisher	R. A. Fisher (blocking principle); full factorial DOE tradition
유형	Experimental design	Experimental design
원전	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	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
별칭	full factorial design, complete factorial design, 2^k factorial design, FFD	blocked full factorial design, full factorial with blocking, complete factorial blocked design, BFF design
관련	6	4
요약	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.	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.