Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Дробный факторный эксперимент 2^(k-p)× | Метод Тагучи (ортогональные массивы, отношение сигнал/шум)× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1961 | 1987 |
| Автор метода≠ | George E. P. Box and J. Stuart Hunter | Genichi Taguchi |
| Тип≠ | Screening and economical factorial design | Parametric robust design methodology |
| Основополагающий источник≠ | Box, G.E.P. & Hunter, J.S. (1961). The 2^(k-p) Fractional Factorial Designs. Technometrics, 3(3), 311–351. link ↗ | Taguchi, G. (1987). System of Experimental Design. UNIPUB/Kraus. ISBN: 978-0527916312 |
| Другие названия | 2^k-p design, fractional factorial, screening design, Kesirli Faktöriyel Desen (2^k-p Fractional Factorial) | Taguchi robust design, orthogonal array design, S/N ratio method, Taguchi Yöntemi (Ortogonal Dizi, S/N Oranı) |
| Связанные≠ | 7 | 3 |
| Сводка≠ | The fractional factorial design is an economical experimental strategy that investigates k factors by running only a carefully chosen 1/2^p fraction of the full 2^k factorial experiment. Formalized by George E. P. Box and J. Stuart Hunter in their landmark 1961 Technometrics paper, it exploits the sparsity-of-effects principle — that high-order interactions are typically negligible — to screen many factors with far fewer runs than a complete factorial would require. | 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. |
| ScholarGateНабор данных ↗ |
|
|