Dedication
ABOUT OUR AUTHOR
Chapter 1: Introduction
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1.1 History
1.2 Chemometrics
1.3 System view
Chapter 2: Classical estimation
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2.1 Linear model
2.2 Least squares
2.3 Curve fitting
2.4 Recursive approach
2.5 Examples
Chapter 3: State estimation
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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
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4.1 Verification
4.2 Evaluation
4.3 Selection
4.4 Normality
4.5 Example
Chapter 5: Nonlinear estimation
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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
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6.1 Multicomponent analysis
6.2 Stochastic drift
6.3 Examples
Chapter 7: The calibration system
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7.1 Linear calibration
7.2 Nonlinear calibration
7.3 Examples
Chapter 8: The titration system
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8.1 Discrete titration
8.2 Continuous titration
8.3 Nonlinear model
8.4 Examples
Chapter 9: Miscellaneous
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9.1 Multiple modeling
9.2 Principal components
9.3 Examples
Appendix
Bibliography
Index
Dr. Pierre Cornelis Thijssen studied chemistry at the Radboud University in the Netherlands, obtaining his Masters Degree in 1978. He then moved to the University of Amsterdam, where he graduated in 1986 with a Ph.D 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.
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