On the determination of robust settings in parameter design experiments
β Scribed by X. Shirley Hou; C.F.J. Wu
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 112 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
In parameter design experiments, it is common to ΓΏt a regression model to the original response and then use the model variance induced by the noise variation to determine robust settings of the control factors. We obtain some general characterization of the robust settings in terms of the absolute slopes in the control-by-noise interaction plots. The simplicity and graphical appeal of the latter conditions provide further insight into the choice of robust settings in these experiments.
π SIMILAR VOLUMES
Mathematical models are of widespread usage for simulating process behavior, designing new processes and equipment and, in a more general sense, decision making. However, as model parameters are uncertain, due to model inaccuracies and experimental errors, all model results are subject to uncertaint
## Abstract Pinto (1998) showed that an economical value might be assigned to model parameter uncertainties, which could be used for process optimization and for taking decisions during sequential experimental designs. The procedure is extended to take into account the fact that plant operation con
The uncertainty of values of the detection limit in chemical analysis is described considering the reasonable risk of false analyte detection and false nondetection, the number of analytical results and some other parameters of the experimental design. Calculations have been made of minimum number o