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| Responsytsmetodologi (RSM)× | Latin Square och Greco-Latin Square Design× | |
|---|---|---|
| Ämnesområde | Försöksplanering | Försöksplanering |
| Familj | Hypothesis test | Hypothesis test |
| Ursprungsår≠ | 1951 | 1935 |
| Upphovsperson≠ | George E. P. Box & K. B. Wilson | Ronald A. Fisher |
| Typ≠ | Second-order polynomial response surface model | Parametric blocked ANOVA |
| Ursprungskälla≠ | 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 ↗ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 |
| Alias≠ | RSM, Central Composite Design, Box-Behnken Design, CCD | Latin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni |
| Närliggande≠ | 7 | 5 |
| Sammanfattning≠ | 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. | The Latin square design is a blocked experimental design that simultaneously controls two independent nuisance factors — the row block and the column block — so that each treatment appears exactly once in every row and every column of an n×n arrangement. Formalised by Ronald A. Fisher in his 1935 monograph The Design of Experiments, the design dramatically reduces experimental error by absorbing variation from two extraneous sources before the treatment effects are estimated. |
| ScholarGateDatamängd ↗ |
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