Fundamentals and Applications of Multiway Data Analysis

“Fundamentals and Applications of Multiway Data Analysis” by Alejandro Olivieri is a comprehensive resource published by Elsevier Science on January 22, 2024. This 708-page book is presented in English and delves into the main aspects of multiway analysis, offering insights into applications that address complex analytical chemistry challenges.
Readers will find a thorough exploration of advanced techniques, methods, and algorithms related to multiway modeling, particularly in the context of calibration and classification tasks. The book compiles contributions from prominent chemometric research groups worldwide, each providing expertise on various subjects. This edition serves as a valuable tool for researchers aiming to maximize the information extracted from instrumental data, extending beyond the foundational concepts of multiway calibration.
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Fundamentals and Applications of Multiway Data Analysis provides comprehensive coverage of the main aspects of multiway analysis, including selected applications that can resolve complex analytical chemistry problems. This book follows on from Fundamentals and Analytical Applications of Multiway Calibration, (2015) by addressing new theoretical analysis and applications on subjects beyond multiway calibration and devoted to the analysis of multiway data for other purposes. Specifically, this new volume presents researchers a set of effective tools they can use to obtain the maximum information from instrumental data.
This book includes the most advanced techniques, methods, and algorithms related to multiway modelling for solving calibration and classification tasks and the way they can be applied. It collects contributions from a selected number of well-known and active chemometric research groups across the world, each covering one or more subjects where their expertise is recognized and appreciated.
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