Nonlinear regression by visualization of the sum of residual space appliedto the integrated copolymerization equation with errors in all variables. I. Introduction of the model, simulations and design of experiments

Citation
M. Van Den Brink et al., Nonlinear regression by visualization of the sum of residual space appliedto the integrated copolymerization equation with errors in all variables. I. Introduction of the model, simulations and design of experiments, J POL SC PC, 37(20), 1999, pp. 3793-3803
Citations number
36
Categorie Soggetti
Organic Chemistry/Polymer Science
Journal title
JOURNAL OF POLYMER SCIENCE PART A-POLYMER CHEMISTRY
ISSN journal
0887624X → ACNP
Volume
37
Issue
20
Year of publication
1999
Pages
3793 - 3803
Database
ISI
SICI code
0887-624X(19991015)37:20<3793:NRBVOT>2.0.ZU;2-#
Abstract
A new model for estimating reactivity ratios using the integrated copolymer ization equation is presented. The model is a general nonlinear least squar es method taking the error in both monomer conversion and monomer fraction into account by a relation between these two variables. Simulations show th at the model is able to predict reactivity ratios successfully. Special att ention is given to experimental design, i.e., at which initial monomer feed ratios the experiments should be performed in order to obtain reliable val ues for the reactivity ratios. (C) 1999 John Wiley & Sons, Inc.