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Author:   José Manuel Díaz-Cruz ,  Miquel Esteban ,  Cristina Ariño
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Weight:   0.338kg
ISBN:  

9783030213862

ISBN 10:   3030213862
Pages:   202
Publication Date:   16 August 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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. 

Reviews

To the best of my knowledge, this is the unique book giving an exhaustive overview of chemometric techniques applied to the specific and peculiar field of electroanalysis. ... The present book is a valuable contribution in the field of chemometrics applied to electroanalysis. (Florence Lagarde, Analytical and Bioanalytical Chemistry, Vol. 412, 2020)

Author Information

Miquel Esteban is Professor, Cristina Ariño and José Manuel Díaz-Cruz are Associated Professors at the Department of Chemical Engineering and Analytical Chemistry in the University of Barcelona.

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