Back to Response Surfaces, Mixtures, and Model Building
Arizona State University

Response Surfaces, Mixtures, and Model Building

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.

Status: Model Evaluation
Status: Statistical Analysis
IntermediateCourse13 hours

Featured reviews

AZ

5.0Reviewed Oct 9, 2021

DoE is an essential but forgotten initial step in the experimental work! This course gives a very good start and breaking the ice for higher quality of experimental work.

DR

5.0Reviewed Jul 25, 2020

It was a great experience for me to do the RSM model building an online course. I learned experimental designs for fitting response surfaces.

All reviews

Showing: 17 of 17

Diego Gardini
3.0
Reviewed Nov 26, 2020
Udayan Goswami
2.0
Reviewed Oct 6, 2020
Dr. RAMESH RAMLING RAJGURU
5.0
Reviewed Jul 26, 2020
ashwin raut
3.0
Reviewed Aug 15, 2020
Phạm Quốc Tuấn
5.0
Reviewed May 23, 2023
Azd Zayoud
5.0
Reviewed Oct 10, 2021
Giovany Orozco
5.0
Reviewed Dec 29, 2020
Dr. M.S.N. MURTY
5.0
Reviewed Aug 2, 2020
Tarek al musalli
5.0
Reviewed Apr 21, 2021
Abhishek Arang
5.0
Reviewed Sep 23, 2020
John Rey Natinga Labajo
5.0
Reviewed Dec 24, 2020
Abd elkarim KERROUCHE
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Reviewed Sep 26, 2023
ANKIT GUPTA
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Reviewed Nov 16, 2020
Soroush Seliari
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Reviewed Jan 9, 2022
José Manuel Pais Chanfrau
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Reviewed Sep 23, 2020
Dhilipkumar B 22PHD0468
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Reviewed Feb 21, 2024
Elham Lashkari
4.0
Reviewed Jan 21, 2021