Methoden vergleichen

	Bayesian Box-Behnken Design	Box-Behnken-Design
Fachgebiet	Versuchsplanung	Versuchsplanung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1960 (BBD); Bayesian integration ~1990s–2000s	1960
Urheber	Box & Behnken (classical BBD, 1960); Bayesian extension developed by multiple authors in response surface literature	George E. P. Box and Donald W. Behnken
Typ	Bayesian response surface experimental design	Response surface design (incomplete three-level factorial)
Wegweisende Quelle	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.
Aliasnamen	Bayesian BBD, Bayesian RSM Box-Behnken, Bayesian three-level design, BBD with Bayesian optimization	BBD, Box-Behnken, Box-Behnken RSM design, three-level incomplete factorial design
Verwandt	5	3
Zusammenfassung	Bayesian Box-Behnken Design combines the classical Box-Behnken three-level design structure with Bayesian statistical inference to fit and optimize response surface models. It uses mid-edge and center points to efficiently estimate a second-order polynomial response surface while incorporating prior knowledge about model parameters and propagating uncertainty through to predictions and optimal factor settings. The approach is widely applied in engineering process optimization and formulation studies.	The Box-Behnken design (BBD) is an efficient response surface methodology design that fits a full second-order polynomial model using three levels of each factor. Introduced by Box and Behnken in 1960, it places experimental points at the midpoints of the edges of a hypercube and at the center, avoiding the corner points where all factors are simultaneously at their extreme levels. This structure makes BBD particularly attractive when extreme-level combinations are physically impossible, costly, or unsafe to test.