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| Plan de criblage de Plackett-Burman× | Planification Composite Centrale× | |
|---|---|---|
| Domaine | Plans d'expériences | Plans d'expériences |
| Famille≠ | Hypothesis test | Process / pipeline |
| Année d'origine≠ | 1946 | 1951 |
| Auteur d'origine≠ | R.L. Plackett & J.P. Burman | George E. P. Box and K. B. Wilson |
| Type≠ | Two-level orthogonal array | Response surface experimental design |
| Source fondatrice≠ | 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. DOI ↗ |
| Alias≠ | PB design, PB screening, Plackett-Burman Tarama Deseni | CCD, Box-Wilson design, central composite response surface design, rotatable central composite design |
| Apparentées≠ | 4 | 3 |
| Résumé≠ | 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. | Central Composite Design (CCD) is a second-order response surface design that allows researchers to efficiently fit a full quadratic model relating multiple continuous input factors to one or more response variables. Introduced by Box and Wilson in 1951, it combines a factorial (or fractional factorial) core, axial (star) points, and center-point replicates into a single unified design, making it the most widely used design for process optimization in engineering, chemistry, and manufacturing. |
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