Response surface methodology

{
  "id": "MLC-T-CHM-010269",
  "term": "Response surface methodology",
  "field": "Chemistry",
  "definition": "A collection of statistical and mathematical techniques for developing and analyzing empirical models that describe the effect of several independent variables on a response variable. The goal is to map a response surface over a particular region of interest and identify the variable settings that result in a maximum or minimum response. This methodology combines experimental design with regression modeling to find optimal conditions.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "experimental design",
    "factor level",
    "optimization",
    "response"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 417 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/response-surface-methodology/"
}