State Estimation in Chemometrics

Dr. Pierre Cornelis Thijssen studied chemistry at the Radboud University Nijmegen in the Netherlands, obtaining his Master’s Degree in 1978. He then moved to the University of Amsterdam in the Netherlands, where he graduated in 1986 with a PhD based on his thesis entitled “State Estimation in Chemometrics,” which is the basis of this book. Since then, Dr. Thijssen has worked for various companies as a laboratory manager and chemometrician.

Dedication
ABOUT OUR AUTHOR
Chapter 1: Introduction

Publisher Summary
1.1 History
1.2 Chemometrics
1.3 System view


Chapter 2: Classical estimation

Publisher Summary
2.1 Linear model
2.2 Least squares
2.3 Curve fitting
2.4 Recursive approach
2.5 Examples


Chapter 3: State estimation

Publisher Summary
3.1 State space model
3.2 Intermezzo
3.3 Prediction
3.4 Filtering
3.5 Kalman filter
3.6 Smoothing
3.7 Examples


Chapter 4: Statistics

Publisher Summary
4.1 Verification
4.2 Evaluation
4.3 Selection
4.4 Normality
4.5 Example


Chapter 5: Nonlinear estimation

Publisher Summary
5.1 Nonlinear state space model
5.2 Extended Kalman filter
5.3 Iterated extended Kalman filter
5.4 Iterated linearized filter-smoother
5.5 Nonlinear smoothing
5.6 Examples


Chapter 6: The multicomponent system

Publisher Summary
6.1 Multicomponent analysis
6.2 Stochastic drift
6.3 Examples


Chapter 7: The calibration system

Publisher Summary
7.1 Linear calibration
7.2 Nonlinear calibration
7.3 Examples


Chapter 8: The titration system

Publisher Summary
8.1 Discrete titration
8.2 Continuous titration
8.3 Nonlinear model
8.4 Examples


Chapter 9: Miscellaneous

Publisher Summary
9.1 Multiple modeling
9.2 Principal components
9.3 Examples


Appendix
Bibliography
Index