Reactivity Ratio Estimation in Non-Linear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error-In-Variables Framework-Reference-Cited by-同舟云学术

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Reactivity Ratio Estimation in Non-Linear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error-In-Variables Framework

Published:2015-07-20 Issue:6 Volume:24 Page:566-579
ISSN:1022-1344
Container-title:Macromolecular Theory and Simulations
language:en
Short-container-title:Macromol. Theory Simul.

Author:

Mathew Manoj¹,Duever Thomas²

Affiliation:

1. Department of Chemical Engineering; University of Waterloo; Waterloo ON Canada N2L 3G1

2. Department of Chemical Engineering; Ryerson University; Toronto ON Canada M5B 2K3

Funder

Natural Sciences and Engineering Research Council of Canada

Ontario Graduate Scholarship

Publisher

Wiley

Subject

Materials Chemistry,Inorganic Chemistry,Polymers and Plastics,Organic Chemistry,Condensed Matter Physics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mats.201500017/fullpdf

Reference30 articles.

1. A powerful estimation scheme with the error-in-variables-model for nonlinear cases: Reactivity ratio estimation examples

2. Determination of reactivity ratios in copolymerization

3. Case studies and literature review on the estimation of copolymerization reactivity ratios

4. Improved methods of estimating monomer reactivity ratios in copolymerization by considering experimental errors in both variables

5. Bayesian Analysis of Errors-in-Variables Regression Models

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1. Bayesian parameter estimation using truncated normal distributions as priors for parameters in fundamental models of chemical processes;The Canadian Journal of Chemical Engineering;2024-07-15

2. Propagating input uncertainties into parameter uncertainties and model prediction uncertainties—A review;The Canadian Journal of Chemical Engineering;2023-06-21

3. Parameter estimation and prediction uncertainties for multi‐response kinetic models with uncertain inputs;AIChE Journal;2023-02-15

4. Estimation of output measurement variances for error‐in‐variables model parameter estimation;AIChE Journal;2022-05-12

5. Determination of Reactivity Ratios from Binary Copolymerization Using the k-Nearest Neighbor Non-Parametric Regression;Polymers;2021-11-04

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