So sánh phương pháp

	Thí nghiệm Yếu tố Toàn phần Thí điểm	Thí nghiệm toàn yếu tố
Lĩnh vực	Thiết kế thí nghiệm	Thiết kế thí nghiệm
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1920s (Fisher); pilot usage formalised mid-20th century	1926 (Fisher's foundational paper); codified by the 1950s–1960s
Người khởi xướng	R. A. Fisher (full factorial foundations); pilot application codified in applied DOE literature (Box, Hunter & Hunter; Montgomery)	Ronald A. Fisher
Loại	Experimental design (pilot/screening phase)	Experimental design
Công trình gốc	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478	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
Tên gọi khác	pilot factorial design, pilot 2^k design, pilot complete factorial experiment, screening factorial pilot	full factorial design, complete factorial design, 2^k factorial design, FFD
Liên quan	3	6
Tóm tắt	A pilot full factorial experiment is a small-scale, complete crossing of all selected factors at all their levels, run before a definitive study to gather preliminary effect estimates, assess variability, and verify experimental logistics. It retains the complete combinatorial structure of a full factorial design — every combination of factor levels is tested — but is intentionally limited in scope (fewer replicates, narrower factor ranges) to conserve resources while maximising learning about factor effects and interactions before committing to a larger investigation.	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.