Книга: Response surface methodology: Dependent and Independent Variables, Design of Experiments, George E. P. Box, Degree of a Polynomial, Factorial Experiment, ... Factorial Design, Central Composite Design

High Quality Content by WIKIPEDIA articles! In statistics, response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables. The method was introduced by G. E. P. Box and K. B. Wilson in 1951. The main idea of RSM is to use a sequence of designed experiments to obtain an optimal response. Box and Wilson suggest using a second-degree polynomial model to do this. They acknowledge that this model is only an approximation, but use it because such a model is easy to estimate and apply, even when little is known about the process.