|
|||||
|
|
Diagnostic Checks and Measures of Information in the Bayesian Design of Experiments with Complex Polymerizations |
|
| Authors: | Afsaneh Nabifar Neil T. McManus Eduardo Vivaldo-Lima Alexander Penlidis |
| Affiliation: | 1. Institute for Polymer Research (IPR), Department of Chemical Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada;2. Facultad de Química, Departamento de Ingeniería Química, Universidad Nacional Autónoma de México, CP 04510 México D.F., México |
| Abstract: | Summary: A case study is presented from the bimolecular nitroxide-mediated radical polymerization of styrene. A Bayesian approach is implemented in order to design two optimal sequences of 2-trials each, and compared with a standard fractional factorial design. The improved effectiveness of the Bayesian design is demonstrated through a discussion of diagnostic criteria (on the quality of prior knowledge and the significance of estimated effects) and enhanced information content measures. |
| Keywords: | Bayesian design of experiments kinetics (polym.) nitroxide-mediated radical polymerization polymerization (general) polystyrene (PS) |