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Basic Chemometric Techniques in Atomic Spectroscopy

Basic Chemometric Techniques in Atomic Spectroscopy


en Limba Engleză Hardback – 14 iun 2009
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.
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Specificații

ISBN-13: 9780854041596
ISBN-10: 0854041591
Pagini: 300
Ilustrații: 1
Dimensiuni: 158 x 240 x 21 mm
Greutate: 0.59 kg
Ediția:2009
Editura: RSC Publishing
Locul publicării:Cambridge, United States

Public țintă

Research

Descriere

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.

Cuprins

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

Caracteristici

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

Textul de pe ultima copertă

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.

Notă biografică

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.