State Estimation in Chemometrics: The Kalman Filter and Beyond

This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. State Estimation in Chemometrics, second edition describes the basic methods for chemical analysis—the multicomponent, calibration and titration systems—from a new perspective. It succinctly reviews the history of state estimation and chemometrics and provides examples of its many applications, including classical estimation, state estimation, nonlinear estimation, the multicomponent, calibration and titration systems and the Kalman filter. The concepts are introduced in a logical way and built up systematically to appeal to specialist post-graduates working in this area as well as professionals in other areas of chemistry and engineering. This new edition covers the latest research in chemometrics, appealing to readers in bio-engineering, food science, pharmacy, and the life sciences fostering cross-disciplinary research.

Features a new chapter surveying the most up-to-date scientific literature on chemometrics, highlighting developments that have occurred since the first edition publishedIncludes a new chapter devoted to new applications for state estimation in chemometricsCovers a new chapter entirely devoted to subspace identification methodsProvides several new real-life examples of methods such as multiple modeling, principal component analysis, iterative target transformation factor analysis, and the generalized standard addition method

1. Introduction 2. Classical estimation 3. State estimation 4. Statistics 5. Nonlinear estimation 6. The multicomponent system 7. The calibration system 8. The titration system 9. Miscellaneous 10. Subspace identification methods 11. New applications 12. Recent advances in chemometrics