Response Surfaces, Mixtures, and Model Building
By Coursera
on Coursera
· Data Science
About This Course
Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the set of important factors are identified interest then usually turns to optimization; that is, what levels of the important factors produce the best values of the response. This course provides design and optimization tools to answer that questions using the response surface framework. Other related topics include design and analysis of computer experiments, experiments with mixtures, and experimental strategies to reduce the effect of uncontrollable factors on unwanted variability in the response.
Instructor
Response Surfaces
Frequently Asked Questions
How much does Response Surfaces, Mixtures, and Model Building cost?
Visit the Response Surfaces, Mixtures, and Model Building course page for current pricing and available discounts.
Who teaches Response Surfaces, Mixtures, and Model Building?
Response Surfaces, Mixtures, and Model Building is taught by Douglas C. Montgomery, Arizona State University.
What skill level is Response Surfaces, Mixtures, and Model Building for?
This course is designed for all levels learners.