A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Statistical Design of Experiments for Screening and Optimization
Design of experiments (DoE) is a family of methods for performing experiments that are maximally informative for a chosen mathematical model. Statistical design of experiments focuses on empirical models that are sufficiently flexible as to describe a wide variety of systems, while having favorable mathematical properties for convenient estimation and optimization. This review describes approaches in statistical DoE for screening through many potential influencing factors and finding optimum process conditions.
Statistical Design of Experiments for Screening and Optimization
Design of experiments (DoE) is a family of methods for performing experiments that are maximally informative for a chosen mathematical model. Statistical design of experiments focuses on empirical models that are sufficiently flexible as to describe a wide variety of systems, while having favorable mathematical properties for convenient estimation and optimization. This review describes approaches in statistical DoE for screening through many potential influencing factors and finding optimum process conditions.
Statistical Design of Experiments for Screening and Optimization
Lee, Robert (author)
Chemie Ingenieur Technik ; 91 ; 191-200
2019-03-01
10 pages
Article (Journal)
Electronic Resource
English
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