Basic chemometric techniques in atomic spectroscopy
著者
書誌事項
Basic chemometric techniques in atomic spectroscopy
（RSC analytical spectroscopy monographs / series editor, Neil Barnett, 13）
Royal Society of Chemistry, c2013
2nd ed
- : hbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
The first edition of this book was a 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.
目次
- 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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