Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Plackett-Burman Design× | Методология поверхности отклика (RSM)× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1946 | 1951 |
| Автор метода≠ | R.L. Plackett & J.P. Burman | George E. P. Box & K. B. Wilson |
| Тип≠ | Two-level orthogonal array | Second-order polynomial response surface model |
| Основополагающий источник≠ | Plackett, R.L. & Burman, J.P. (1946). The Design of Optimum Multifactorial Experiments. Biometrika, 33(4), 305–325. DOI ↗ | Box, G. E. P. & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B, 13(1), 1–45. link ↗ |
| Другие названия≠ | PB design, PB screening, Plackett-Burman Tarama Deseni | RSM, Central Composite Design, Box-Behnken Design, CCD |
| Связанные≠ | 4 | 7 |
| Сводка≠ | The Plackett-Burman design is a two-level orthogonal screening design introduced by R.L. Plackett and J.P. Burman in 1946 that allows researchers to estimate the main effect of each factor independently using the smallest possible number of experimental runs. Run counts are always multiples of four, making it exceptionally economical for studies with many candidate factors. | Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics. |
| ScholarGateНабор данных ↗ |
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