Chemometric Techniques for Quantitative Analysis

This excellent tutorial shows how to produce and use quantitative analytical calibrations in a laboratory or production environment, estimate the time and resources required to develop analytical calibrations, and employ the quantitative software provided with a wide range of instruments and commercial software packages. Highly graphical and virtually mathematics-free, Chemometric Techniques for Quantitative Analysis serves as an outstanding guide for analytical, environmental, pharmaceutical, and industrial and process chemists; geochemists; biologists and biochemists; spectroscopists and chromatographers; statisticians; food, forensic, and materials scientists; toxicologists; quality control managers; technicians and software engineers; and as a valuable supplemental text for undergraduate and graduate students in chemometrics and analytical chemistry courses. Chemometrics is not intrisically difficult to understand, but it has a high barrier especially for beginners. One of the reasons may be that most of tutorials employses unnecessarily many equations, and they describe claculation algorithms too much. Nonetheless, the basic concept of PCR and PLS should be described on the line of CLS and ILS. The discovery of advantage of ILS, and the idea of using latent variables by PCA are the most important to fully understand PCR and PLS. Richard Kramer writes the book along this concept, and we can comprehensively understand the ideas of maltivariate analysis of spectra. He uses many figures, as if we were performing simulations by ourself. After fully understanding of this book, we would understand other tutorials more deeply and easily. Chemometric Techniques for Quantitative Analysis shows how to produce and use quantitative analytical calibrations in a laboratory or production environment following a variety of methods, how to estimate the time and resources needed to develop analytical calibrations, and how to employ the quantitative software provided with a wide range of instruments and commercial software packages. Among several, this bestselling volume covers basic and classical approaches, component regression; PCR in action; partial least squares; PLS in action. An extensive appendix offers a glossary, a list of errors and tests for reduced Eigenvalues. Richard Kramer. Includes Bibliographical References (p. 191-195) And Index.