Alejandro C. Olivieri Olivieri Introduction to Multivariate Calibration

Introduction to Multivariate Calibration

von Alejandro C. Olivieri

A Practical Approach

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Beschreibung

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.


This book contains several new sections that provide even more in-depth knowledge on the topics. New content on the classical least-squares model, which shows its advantages and limitations in greater detail, was added. Additionally, the book contains a new section on the inverse least-squares model, which explains how it differs from the classical model and its applications in chemometrics. Furthermore, a new chapter on principal component analysis, which covers the concept in greater detail and its applications in chemometrics, is added. This book also includes several real-world examples to help you better understand the topic. Overall, this book provides the reader with even more comprehensive knowledge on chemometrics and multivariate calibration, making it an essential resource for students and professionals alike.


Simplifies complex concepts qualitatively, minimizing mathematical jargon Balances theory with practical exercises for comprehensive learning Showcases cutting-edge multivariate calibration advancements

Autor*in

Alejandro C. Olivieri

Themen in »Introduction to Multivariate Calibration«

Multivariate calibration Partial least-squares regression Analytical figures of merit Software for multivariate models Spectral pre-processing Direct and inverse calibration models MVC1 software Chemometrics introduction Multivariate calibration textbook Guide to multivariate calibration First-Order Multivariate Calibration

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Details

ISBN: 9783031641435
Verlag: Springer International Publishing
Erscheinung: 16.07.2024

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