A new algorithm for optimal, distance based, experimental design is presented. The proposed approach, in contrast to other optimality criteria, does not require any preliminary hypothesis about a regression model. The best set of experiments is defined through a fast exchange algorithm where, in each cycle, a substitution is selected to provide the maximum increase of the minimum distance between the currently selected experiments. Such an algorithm provides a final uniform distribution of the experiments selected from the set of allowed candidates
Marengo, E., & Todeschini, R. (1992). A new algorithm for optimal, distance based, experimental design. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 16, 37-44.
Citazione: | Marengo, E., & Todeschini, R. (1992). A new algorithm for optimal, distance based, experimental design. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 16, 37-44. |
Tipo: | Articolo in rivista - Articolo scientifico |
Carattere della pubblicazione: | Scientifica |
Presenza di un coautore afferente ad Istituzioni straniere: | No |
Titolo: | A new algorithm for optimal, distance based, experimental design |
Autori: | Marengo, E;Todeschini, R |
Autori: | |
Data di pubblicazione: | 1992 |
Lingua: | English |
Rivista: | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/0169-7439(92)80076-G |
Appare nelle tipologie: | 01 - Articolo su rivista |