
State Estimation in Chemometrics
The Kalman Filter and Beyond
Resources
Description
Key Features
- Features a new chapter surveying the most up-to-date scientific literature on chemometrics, highlighting developments that have occurred since the first edition published
- Includes a new chapter devoted to new applications for state estimation in chemometrics
- Covers a new chapter entirely devoted to subspace identification methods
- Provides 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
Readership
Upper undergraduates and specialist post-graduates working in analytical chemistry and chemometrics, applied chemistry, chemical engineering, and process engineering; professionals in these and other areas of chemistry, biology, bio-engineering, food science, pharmaceuticals, engineering, and signal processing
Table of Contents
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
Product details
- No. of pages: 294
- Language: English
- Copyright: © Woodhead Publishing 2020
- Published: August 14, 2020
- Imprint: Woodhead Publishing
- Paperback ISBN: 9780081026038
- eBook ISBN: 9780081026229
About the Authors
Pierre Thijssen
Affiliations and Expertise
Sillas Hadjiloucas
Affiliations and Expertise
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