Basic Chemometric Techniques in Atomic SpectroscopyCheck Access
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 kept to a minimum but, when required, is kept at a basic level. Practical considerations, interpretations and troubleshooting are emphasized and literature surveys are included to guide the reader to further work. The same dataset is used for all chapters dealing with calibration to demonstrate the differences between the different methodologies. Readers will learn how to handle spectral and chemical interferences in atomic spectrometry in a new, more efficient and cost-effective way.
Basic Chemometric Techniques in Atomic Spectroscopy, The Royal Society of Chemistry, 2009.
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Table of contents
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Chapter 1: A General Overview of Atomic Spectrometric Techniquesp1-50ByAlfredo Sanz-Medel;Alfredo Sanz-MedelDepartment of Physical and Analytical ChemistryOviedoSpainSearch for other works by this author on:Rosario Pereiro;Rosario PereiroDepartment of Physical and Analytical ChemistryOviedoSpainSearch for other works by this author on:José Manuel Costa-FernándezJosé Manuel Costa-FernándezDepartment of Physical and Analytical ChemistryOviedoSpainSearch for other works by this author on:
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Chapter 2: Implementing A Robust Methodology: Experimental Design and Optimizationp51-159ByXavier Tomás Morer;Xavier Tomás MorerDepartment of Applied Statistics, Institut Químic de Sarrià, Universitat Ramon LlullBarcelonaSpainSearch for other works by this author on:Lucinio González-Sabaté;Lucinio González-SabatéDepartment of Applied Statistics, Institut Químic de Sarrià, Universitat Ramon LlullBarcelonaSpainSearch for other works by this author on:Laura Fernández-Ruano;Laura Fernández-RuanoDepartment of Applied Statistics, Institut Químic de Sarrià, Universitat Ramon LlullBarcelonaSpainSearch for other works by this author on:María Paz Gómez-CarracedoMaría Paz Gómez-CarracedoDepartment of Analytical Chemistry, University of A CoruñaA CoruñaSpainSearch for other works by this author on:
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Chapter 3: Ordinary Multiple Linear Regression and Principal Components Regressionp160-180ByJoan Ferré-Baldrich;Joan Ferré-BaldrichDepartment of Analytical and Organic Chemistry, University Rovira i VirgiliTarragonaSpainSearch for other works by this author on:Ricard Boqué-MartíRicard Boqué-MartíDepartment of Analytical and Organic Chemistry, University Rovira i VirgiliTarragonaSpainSearch for other works by this author on:
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Chapter 4: Partial Least-Squares Regressionp181-243ByJose Manuel Andrade-Garda;Jose Manuel Andrade-GardaDepartment of Analytical Chemistry, University of A CoruñaA CoruñaSpainSearch for other works by this author on:Ricard Boqué-Martí;Ricard Boqué-MartíDepartment of Analytical and Organic Chemistry, University Rovira i VirgiliTarragonaSpainSearch for other works by this author on:Joan Ferré-Baldrich;Joan Ferré-BaldrichDepartment of Analytical and Organic Chemistry, University Rovira i VirgiliTarragonaSpainSearch for other works by this author on:Alatzne Carlosena-ZubietaAlatzne Carlosena-ZubietaDepartment of Analytical Chemistry, University of A CoruñaA CoruñaSpainSearch for other works by this author on:
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Chapter 5: Multivariate Regression using Artificial Neural Networksp244-283ByJose Manuel Andrade-Garda;Jose Manuel Andrade-GardaDepartment of Analytical Chemistry, University of A CoruñaA CoruñaSpainSearch for other works by this author on:Alatzne Carlosena-Zubieta;Alatzne Carlosena-ZubietaDepartment of Analytical Chemistry, University of A CoruñaA CoruñaSpainSearch for other works by this author on:María Paz Gómez-Carracedo;María Paz Gómez-CarracedoDepartment of Analytical Chemistry, University of A CoruñaA CoruñaSpainSearch for other works by this author on:Marcos Gestal-PoseMarcos Gestal-PoseDepartment of Information and Communications Technologies, University of A CoruñaA CoruñaSpainSearch for other works by this author on:
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