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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.

状态:Analysis
状态:Statistical Analysis
中级课程小时

精选评论

AZ

5.0评论日期: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

5.0评论日期: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.

所有审阅

显示:17/17

Diego Gardini
3.0
评论日期:Nov 26, 2020
Udayan Goswami
2.0
评论日期:Oct 6, 2020
Dr. RAMESH RAMLING RAJGURU
5.0
评论日期:Jul 26, 2020
ashwin raut
3.0
评论日期:Aug 15, 2020
Phạm Quốc Tuấn
5.0
评论日期:May 23, 2023
Azd Zayoud
5.0
评论日期:Oct 10, 2021
Giovany Orozco
5.0
评论日期:Dec 29, 2020
Dr. M.S.N. MURTY
5.0
评论日期:Aug 1, 2020
Tarek al musalli
5.0
评论日期:Apr 21, 2021
Abhishek Arang
5.0
评论日期:Sep 22, 2020
John Rey Natinga Labajo
5.0
评论日期:Dec 23, 2020
Abd elkarim KERROUCHE
5.0
评论日期:Sep 26, 2023
ANKIT GUPTA
5.0
评论日期:Nov 16, 2020
Soroush Seliari
5.0
评论日期:Jan 9, 2022
José Manuel Pais Chanfrau
5.0
评论日期:Sep 23, 2020
Dhilipkumar B 22PHD0468
5.0
评论日期:Feb 21, 2024
Elham Lashkari
4.0
评论日期:Jan 21, 2021