Alejandro C. Olivieri

Introduction to Multivariate Calibration (eBook, PDF)

A Practical Approach

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 243
• Erscheinungstermin: 20. August 2018
• Englisch
• ISBN-13: 9783319970974
• Artikelnr.: 59887201

Autorenporträt

Prof. Dr. Alejandro César Olivieri has obtained his B.Sc. 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.

Inhaltsangabe

1. Chemometrics and Multivariate Calibration.- 2. The Classical Least-Squares Model.- 3. The Inverse Least-Squares Model.- 4. Principal Component Analysis.- 5. Principal Component Regression.

Rezensionen

Selected by Choice magazine as an Outstanding Academic Title for 2019

"Rich, concrete examples are lavishly illustrated, and ample references are provided. The text overall is challenging and rewarding for students and specialists alike." (A. E. Viste, emeritus, Choice, Vol. 56 (10), June, 2019)