MATLAB for Chemometricians
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MATLAB for Chemometricians
Marini, Federico; Amigo, Jose Manuel; Biancolillo, Alessandra
Elsevier - Health Sciences Division
12/2029
492
Mole
Inglês
9780323854283
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Section I Basics 1. Introduction to the Matlab environment and data types 2. Simple algebraic operations 3. Basic Matrix Algebra 4. Univariate data analysis and first plotting commands Section II Multivariate analysis 5. From univariate to multivariate linear regression: starting working extensively with matrices 6. Introduction to Experimental Design: Generating factorial designs and 3D plotting 7. PCA and Exploratory analysis: Building model structures and a basic graphical user interface 8. Bilinear calibration (PCR and PLS): More on the algorithmic side 9. Classification: Building decision rules and advanced 2D and 3D plotting Section III Advanced material 10. Multivariate curve resolution: Introducing the ALS algorithm and simple constraints 11. Multi-way modelling: How to deal with multi-way arrays and how to process them 12. Signal processing: Derivatives, noise reduction, alignment 13. Image analysis: what you see and what you can get from it
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MATLAB; programming; chemometrics; linear algebra; algorithms
Section I Basics 1. Introduction to the Matlab environment and data types 2. Simple algebraic operations 3. Basic Matrix Algebra 4. Univariate data analysis and first plotting commands Section II Multivariate analysis 5. From univariate to multivariate linear regression: starting working extensively with matrices 6. Introduction to Experimental Design: Generating factorial designs and 3D plotting 7. PCA and Exploratory analysis: Building model structures and a basic graphical user interface 8. Bilinear calibration (PCR and PLS): More on the algorithmic side 9. Classification: Building decision rules and advanced 2D and 3D plotting Section III Advanced material 10. Multivariate curve resolution: Introducing the ALS algorithm and simple constraints 11. Multi-way modelling: How to deal with multi-way arrays and how to process them 12. Signal processing: Derivatives, noise reduction, alignment 13. Image analysis: what you see and what you can get from it
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
