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State Estimation in Chemometrics
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Table of Contents

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

About the Author

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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