Introduction to Multivariate Calibration: A Practical Approach

✍ Scribed by Alejandro C. Olivieri

Publisher: Springer International Publishing
Year: 2018
Tongue: English
Leaves: 250
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xvii
Chemometrics and Multivariate Calibration (Alejandro C. Olivieri)....Pages 1-17
The Classical Least-Squares Model (Alejandro C. Olivieri)....Pages 19-38
The Inverse Least-Squares Model (Alejandro C. Olivieri)....Pages 39-56
Principal Component Analysis (Alejandro C. Olivieri)....Pages 57-71
Principal Component Regression (Alejandro C. Olivieri)....Pages 73-86
The Optimum Number of Latent Variables (Alejandro C. Olivieri)....Pages 87-101
The Partial Least-Squares Model (Alejandro C. Olivieri)....Pages 103-121
Sample and Sensor Selection (Alejandro C. Olivieri)....Pages 123-137
Mathematical Pre-processing (Alejandro C. Olivieri)....Pages 139-158
Analytical Figures of Merit (Alejandro C. Olivieri)....Pages 159-177
MVC1: Software for Multivariate Calibration (Alejandro C. Olivieri)....Pages 179-205
Non-linearity and Artificial Neural Networks (Alejandro C. Olivieri)....Pages 207-226
Solutions to Exercises (Alejandro C. Olivieri)....Pages 227-236
Back Matter ....Pages 237-243

✦ Subjects

Chemistry; Analytical Chemistry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

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