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Autorenporträt
Jose Andrade-Garda is based in the Department of Analytical Chemistry at the University of A Coru±a where he specializes in quality control and chemometrics. Within the field of chemometrics, his main interests are multivariate regression and pattern recognition methods. In the atomic spectrometry arena, he has applied formal optimization techniques to optimize analytical protocols and used multivariate regression tools to cope with spectral and chemical interferences in ETAAS.
Inhaltsangabe
An overview of atomic spectrometric techniques Classical linear regression by the least squares method Implenting a robust methodology: experimental designs and optimisation Ordinary multiple linear regression and principal components regression Partial least-squares regression Multivariate regression using artificial neural networks and support vector mechines Index
An overview of atomic spectrometric techniques Classical linear regression by the least squares method Implenting a robust methodology: experimental designs and optimisation Ordinary multiple linear regression and principal components regression Partial least-squares regression Multivariate regression using artificial neural networks and support vector mechines Index
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