Chemometrics in Electroanalysis
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- Artikel-Nr.: 10508612
Beschreibung
1. Introduction
2. Main characteristics and types of electrochemical data
3. Exploratory data analysis
3.1. Univariate and multivariate data analysis
3.2. Data preprocessing
3.3. Principal component analysis(PCA)
4. Experimatal design and optimization
5. Calibration
5.1. Classical calibration methods, CLS, ILS
5.2 Calibartion based on principal components: principal component regression (PCR) and partial leasts squares (PLS)
5.3. Non-linear methods. Artificial neural networks (ANN)
6. Model identification
6.1. Classical (hard) modelling
6.2. Multivariate curve resolution by alternating leasts squares (MCR-ALS)
7. Expert systems in electroanalysis.
2. Main characteristics and types of electrochemical data
3. Exploratory data analysis
3.1. Univariate and multivariate data analysis
3.2. Data preprocessing
3.3. Principal component analysis(PCA)
4. Experimatal design and optimization
5. Calibration
5.1. Classical calibration methods, CLS, ILS
5.2 Calibartion based on principal components: principal component regression (PCR) and partial leasts squares (PLS)
5.3. Non-linear methods. Artificial neural networks (ANN)
6. Model identification
6.1. Classical (hard) modelling
6.2. Multivariate curve resolution by alternating leasts squares (MCR-ALS)
7. Expert systems in electroanalysis.
Eigenschaften
| Breite: | 156 |
| Gewicht: | 338 g |
| Höhe: | 12 |
| Länge: | 235 |
| Seiten: | 202 |
| Sprachen: | Englisch |
| Autor: | Cristina Ariño, José Manuel Díaz-Cruz, Miquel Esteban |
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