Introduction to Multivariate Calibration

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Sprache: Englisch

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Beschreibung

This book offers an introductory-level guide to the complex field of multivariate analytical calibration, with particular emphasis on real applications such as near infrared spectroscopy. It presents intuitive descriptions of mathematical and statistical concepts, illustrated with a wealth of figures and diagrams, and consistently highlights physicochemical interpretation rather than mathematical issues. In addition, it describes an easy-to-use and freely available graphical interface, together with a variety of appropriate examples and exercises. Lastly, it discusses recent advances in the field (figures of merit, detection limit, non-linear calibration, method comparison), together with modern literature references.

Zusammenfassung

Prof. Dr. Alejandro César Olivieri has obtained his [...]. in Industrial Chemistry from the Catholic Faculty of Chemistry and Engineering, Argentina, in 1982, and his Ph.D. from the Faculty of Biochemical and Pharmaceutical Sciences, University of Rosario, Argentina, in 1986. He currently works in the Department of Analytical Chemistry of the latter Faculty, and is a fellow of the National Research Council of Argentina (CONICET). He has published about 200 scientific papers in international journals, several books and book chapters and supervised ten Ph.D. theses. He was John Simon Guggenheim Memorial Foundation fellow (2001-2002). His primary research field is multivariate calibration, including first- and higher-order models, analytical figures of merit and software development.

Inhaltsverzeichnis

Chapter1: Chemometrics and multivariate calibration.- Chapter2: The classical least-squares model.- Chapter3: The inverse least-squares model.- Chapter4: Principal component analysis.- Chapter5: Principal component regression.- Chapter6: The optimum number of latent variables.- Chapter7: The partial least-squares model.- Chapter8: Comparison of multivariate models.- Chapter9: Data pre-processing. Part 1: samples and sensors.- Chapter10: Data pre-processing. Part 2: mathematical filters.-Chapter11: Analytical figures of merit.- Chapter12: MVC1: a software for multivariate calibration.- Chapter13: Non-linearity and artificial neural networks.- Chapter14: Solutions to exercises.

Details

Erscheinungsjahr:	2018
Fachbereich:	Theoretische Chemie
Genre:	Chemie
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xvii 243 S. 2 s/w Illustr. 156 farbige Illustr. 243 p. 158 illus. 156 illus. in color.
ISBN-13:	9783030073022
ISBN-10:	3030073025
Sprache:	Englisch
Herstellernummer:	978-3-030-07302-2
Einband:	Kartoniert / Broschiert
Autor:	Olivieri, Alejandro C.
Hersteller:	Springer Springer, Berlin
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Abbildungen:	XVII, 243 p. 158 illus., 156 illus. in color.
Maße:	14 x 158 x 236 mm
Von/Mit:	Alejandro C. Olivieri
Erscheinungsdatum:	14.12.2018
Gewicht:	0,454 kg