Introduction to Multivariate Calibration A Practical Approach /
This book offers an introductory-level guide to the complex field of multivariate analytical calibration, with particular emphasis on real applications such as near infrared spectroscopy. It presents intuitive descriptions of mathematical and statistical concepts, illustrated with a wealth of figure...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chapter1: Chemometrics and multivariate calibration
- Chapter2: The classical least-squares model
- Chapter3: The inverse least-squares model
- Chapter4: Principal component analysis
- Chapter5: Principal component regression
- Chapter6: The optimum number of latent variables
- Chapter7: The partial least-squares model
- Chapter8: Comparison of multivariate models
- Chapter9: Data pre-processing. Part 1: samples and sensors
- Chapter10: Data pre-processing. Part 2: mathematical filters.-Chapter11: Analytical figures of merit
- Chapter12: MVC1: a software for multivariate calibration
- Chapter13: Non-linearity and artificial neural networks
- Chapter14: Solutions to exercises.