Response surface methodology

Summary

Response surface methodology is a set of statistical techniques for learning how a response depends on several input factors. Its goal is to find the factor settings that make the response best. It fits low-order polynomial models to data from designed experiments and moves through the factor space in a sequence of experiments. George Box and K. B. Wilson introduced it in 1951, and it is widely used to improve industrial processes.