Comparison of experimental designs combining process and mixture variables
| Autor: | C.A.A. Duineveld, D.A. Doornbos, Ak Smilde |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Optimal design
Mathematical optimization Series (mathematics) Plackett–Burman design Design evaluation Basis (linear algebra) Computer science Computer aid Process Chemistry and Technology Design of experiments Model selection Process (computing) Computer Science Applications Analytical Chemistry Chemometrics Set (abstract data type) Data set Test set Econometrics Spectroscopy Software |
| Zdroj: | Chemometrics and Intelligent Laboratory Systems. 19:309-318 |
| ISSN: | 0169-7439 |
| DOI: | 10.1016/0169-7439(93)80030-l |
| Popis: | The construction of a small experimental design for a combination of process and mixture variables is a problem which has not been solved completely by now. In a previous paper we evaluated some designs with theoretical measures. This second paper evaluates the capabilities of the best of these designs in a practical application. For this purpose, data are obtained from a pharmaceutical problem according to these designs. The model selection on the basis of the small designs is compared with model selection on the basis of an extra data set. The prediction errors of the small designs are estimated using a test set. |
| Databáze: | OpenAIRE |
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