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A paper from the latest issue:Performance assessment of the anticipatory approach to optimal experimental design for model discrimination
13 July 2011, 21:32:59
Publication year: 2011
Source: Chemometrics and Intelligent Laboratory Systems, In Press, Accepted Manuscript, Available online 12 July 2011
Brecht M.R., Donckels , Dirk J.W., De Pauw , Peter A., Vanrolleghem , Bernard, De Baets
The problem of model discrimination arises when several models are proposed to describe one and the same process, a situation encountered in many research fields. To identify the best model from the set of rival models, it may be necessary to collect new information about the process, and thus additional experiments have to be performed. Several approaches have been described in literature to design optimal discriminatory experiments. The anticipatory approach is one of them and is very appealing from a conceptual point of view because the expected information content of the newly designed experiment is considered, even before the experiment...
Source: Chemometrics and Intelligent Laboratory Systems, In Press, Accepted Manuscript, Available online 12 July 2011
Brecht M.R., Donckels , Dirk J.W., De Pauw , Peter A., Vanrolleghem , Bernard, De Baets
The problem of model discrimination arises when several models are proposed to describe one and the same process, a situation encountered in many research fields. To identify the best model from the set of rival models, it may be necessary to collect new information about the process, and thus additional experiments have to be performed. Several approaches have been described in literature to design optimal discriminatory experiments. The anticipatory approach is one of them and is very appealing from a conceptual point of view because the expected information content of the newly designed experiment is considered, even before the experiment...
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