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|a Basic chemometric techniques in atomic spectroscopy /
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|a A general overview of atomic spectrometric techniques / Alfredo Sanz-Medel, Rosario Pereiro and José Manuel Costa-Fernández -- Implementing a robust methodology : experimental design and optimization / Xavier Tomás Morer, Lucinio González-Sabaté, Laura Fernández-Ruano and María Paz Gómez-Carracedo -- Ordinary multiple linear regression and principal components regression / Joan Ferré-Baldrich and Ricard Boqué-Martí -- Partial least-squares regression / Jose Manuel Andrade-Garda, Ricard Boqué-Martí, Joan Ferré-Baldrich and Alatzne Carlosena-Zubieta -- Multivariate regression using artificial neural networks / Jose Manuel Andrade-Garda, Alatzne Carlosena-Zubieta, María Paz Gómez-Carracedo and Marcos Gestal-Pose.
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|a This is the first book for atomic spectroscopists to present the basic principles of experimental designs, optimization and multivariate regression. Multivariate regression is a valuable statistical method for handling complex problems (such as spectral and chemical interferences) which arise during atomic spectrometry. However, the technique is underused as most spectroscopists do not have time to study the often complex literature on the subject. This practical introduction uses conceptual explanations and worked examples to give readers a clear understanding of the technique. Mathematics is.
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|a Andrade-Garda, Jose Manuel.
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|a RSC analytical spectroscopy monographs ;
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