विधियों की तुलना करें

	तागुची विधि (ऑर्थोगोनल एरे, सिग्नल-टू-नॉइज़ अनुपात)	एक-तरफ़ा विचरण विश्लेषण
क्षेत्र	प्रयोगात्मक अभिकल्प	सांख्यिकी
परिवार	Hypothesis test	Hypothesis test
उद्भव वर्ष	1987	1925
प्रवर्तक	Genichi Taguchi	Ronald A. Fisher
प्रकार	Parametric robust design methodology	Parametric mean comparison
मौलिक स्रोत	Taguchi, G. (1987). System of Experimental Design. UNIPUB/Kraus. ISBN: 978-0527916312	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
उपनाम	Taguchi robust design, orthogonal array design, S/N ratio method, Taguchi Yöntemi (Ortogonal Dizi, S/N Oranı)	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
संबंधित	3	4
सारांश	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.	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.