Порівняння методів

	Повнофакторний експериментальний план	Метод Тагучі (ортогональні масиви, відношення сигнал/шум)
Галузь	Планування експерименту	Планування експерименту
Родина	Hypothesis test	Hypothesis test
Рік появи	1926	1987
Автор методу	R. A. Fisher	Genichi Taguchi
Тип	Parametric factorial experiment	Parametric robust design methodology
Основоположне джерело	Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley. ISBN: 978-0471718130	Taguchi, G. (1987). System of Experimental Design. UNIPUB/Kraus. ISBN: 978-0527916312
Інші назви	factorial experiment, 2^k factorial, full factorial, Faktöriyel Deneme Deseni (Full Factorial, 2^k)	Taguchi robust design, orthogonal array design, S/N ratio method, Taguchi Yöntemi (Ortogonal Dizi, S/N Oranı)
Пов'язані	5	3
Підсумок	A full factorial design is a parametric experimental method in which every combination of factor levels is tested simultaneously, enabling the estimation of all main effects and all interaction effects in a single study. Rooted in R. A. Fisher's foundational work on designed experiments (1926) and systematically developed by Box, Hunter, and Hunter (2005) and Montgomery (2017), the 2^k form tests k two-level factors across 2^k experimental runs and is the benchmark against which all other factorial designs are measured.	The Taguchi Method is a robust design methodology developed by Genichi Taguchi, first systematized in his 1987 work, that uses orthogonal arrays to study many control factors in a minimum number of experimental runs while quantifying product or process quality through Signal-to-Noise (S/N) ratios. Its central goal is to design products and processes that are insensitive — or robust — to uncontrollable noise factors such as environmental variation, material inconsistency, or user behavior.