Titlebook: Introduction to Multivariate Calibration; A Practical Approach Alejandro C. Olivieri Textbook 2024Latest edition The Editor(s) (if applicab

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Mathematical Pre-processing,Multivariate calibration models sometimes require one to pre-process the instrumental data with mathematical techniques. Criteria are discussed for performing this relevant activity. The objective is to reduce the impact of physical phenomena or changes in the instrumental response over time.

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Analytical Figures of Merit,Figures of merit are regularly used to compare the performance of different analytical methodologies. A modern view of their definitions and interpretations is provided in the framework of first-order multivariate calibration.

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Conduit

Non-linearity and Artificial Neural Networks. Radial Basis Functions and Kernel Partial Least-SquarAn introduction to calibration of non-linear systems with artificial neural networks is provided. Detailed information is given on calibration using radial basis functions and Kernel partial least-squares. The latter are interpreted based on the concept of data linearization by projection onto a non-linear space.

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ARIA

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Archipelago

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