Computer-Aided Modeling of Reactive Systems; Contents; Chapter 1. Overview; Chapter 2. Chemical Reaction Models; Chapter 3. Chemical Reactor Models; Chapter 4. Introduction to Probability and Statistics; Chapter 5. Introduction to Bayesian Estimation; Chapter 6. Process Modeling with Single-Response Data; Chapter 7. Process Modeling with Multiresponse Data; Appendix A. Solution of Linear Algebraic Equations; Appendix B. DDAPLUS Documentation; Appendix C. GREGPLUS Documentation; Author Index; Subject Index
Summary
Learn to apply modeling and parameter estimation tools and strategies to chemicalprocesses using your personal computer. This book introduces readers to powerful parameter estimation and computational methods for modeling complex chemical reactions and reaction processes. It presents useful mathematical models, numerical methods for solving them, and statistical methods for testing and discriminating candidate models with experimental data. Topics covered include:. Chemical reaction models. Chemical reactor models. Probability and statistics. Bayesian estimation. Process modeling with single-r
