Optimal experimental design
V Fedorov - Wiley Interdisciplinary Reviews: Computational …, 2010 - Wiley Online Library
After a short historical introduction, the properties and numerical methods are the focal point
of discussion. Construction of discrete and adaptive designs demand more extended …
of discussion. Construction of discrete and adaptive designs demand more extended …
[PDF][PDF] Optimal experimental design
V Fedorov - researchgate.net
The modern evolution of optimal experimental design starts with Smith. 1 Smith explores
fitting univariate polynomials of order up to six. The design region X is the interval [− 1, 1] …
fitting univariate polynomials of order up to six. The design region X is the interval [− 1, 1] …
Optimal experimental design
V Fedorov - WIREs Computational Statistics, 2010 - dl.acm.org
After a short historical introduction, the properties and numerical methods are the focal point
of discussion. Construction of discrete and adaptive designs demand more extended …
of discussion. Construction of discrete and adaptive designs demand more extended …
Optimal experimental design
V Fedorov - Wiley Interdisciplinary Reviews: Computational …, 2010 - elibrary.ru
After a short historical introduction, the properties and numerical methods are the focal point
of discussion. Construction of discrete and adaptive designs demand more extended …
of discussion. Construction of discrete and adaptive designs demand more extended …
[PDF][PDF] Optimal experimental design
V Fedorov - academia.edu
The modern evolution of optimal experimental design starts with Smith. 1 Smith explores
fitting univariate polynomials of order up to six. The design region X is the interval [− 1, 1] …
fitting univariate polynomials of order up to six. The design region X is the interval [− 1, 1] …
[PDF][PDF] Optimal experimental design
V Fedorov - researchgate.net
The modern evolution of optimal experimental design starts with Smith. 1 Smith explores
fitting univariate polynomials of order up to six. The design region X is the interval [− 1, 1] …
fitting univariate polynomials of order up to six. The design region X is the interval [− 1, 1] …