Alejandro C. Olivieri

Introduction to Multivariate Calibration (eBook, PDF)

A Practical Approach

• Format: PDF

Produktbeschreibung

This second edition builds upon the success of its predecessor with expanded and updated content throughout most chapters, accompanied by the addition of a new chapter on Non-linearities in Multivariate Calibration. This latest chapter explores advanced topics including Radial Basis Functions (RBF) and Feed-forward Networks (FFN), providing practical insights and real-world applications within the context of multivariate calibration. Readers will find intuitive explanations of mathematical and statistical concepts, supported by a wealth of figures and diagrams, alongside discussions on recent advancements in the field such as figures of merit, detection limits, and method comparison. With its emphasis on real applications and comprehensive updates, the second edition remains an invaluable resource for students, researchers, and practitioners navigating the complexities of multivariate analytical calibration.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 302
• Erscheinungstermin: 15. Juli 2024
• Englisch
• ISBN-13: 9783031641442
• Artikelnr.: 72243379

Autorenporträt

Prof. Dr. Alejandro César Olivieri 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 works in the Department of Analytical Chemistry of the latter Faculty and is a fellow of the National Research Council of Argentina (CONICET). 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)