Fundamentals and Applications of Multiway Data Analysis

Herausgeber: Olivieri, Alejandro; Goicoechea, Hector C.; Escandar, Graciela M.; de la Pena, Arsenio Munoz

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Data Handling in Science and Technology
• Verlag: Elsevier - Health Sciences Division
• Seitenzahl: 708
• Erscheinungstermin: 22. Januar 2024
• Englisch
• Abmessung: 229mm x 156mm x 35mm
• Gewicht: 1128g
• ISBN-13: 9780443132612
• ISBN-10: 0443132615
• Artikelnr.: 68355309

Inhaltsangabe

1. Effects of Different Constraints on Range of Feasible solutions in
Self-Modeling Curve Resolution Methods 2. Custom-made optical platforms for
high-throughput acquisition of high-order multilinear data in dynamic
systems 3. Multiway and Data Fussion Strategies in the Study of Natural
Waters 4. Replicate analysis for uncertainty estimation in PARAFAC and
PARAFASCA analyses of factorial metabolomics data 5. Fluorescence
Developments for the Non-destructive Analysis of Forensic Fiber Evidence 6.
Multiset analysis for hyperspectral images: data fusion, industrial and
(bio) analytical applications 7. Multi-way Analysis of Electrochemical Data
8. Fluorescence spectroscopy and second-order methods in monitoring aquatic
environments 9. Recent advances of multiway data modeling for
classification issues 10. An approach to multiway calibration using
spectroscopic data modulated by a pH gradient in the analyses of complex
matrices 11. Multi-way analyses in biological interactions 12. Recent
applications of multiway data modeling for protein analysis by IR
spectroscopy 13. Hard modelling of multiway data 14. Multi-way data
analysis applied to excitation-emission fluorescence matrices acquired from
semiconductor/carbon quantum dots sensing nanoplatforms 15. Recent
applications of third-order/four-way and fourth-order/five-way data
analysis 16. Recent advances in multi-way analytical figures of merit 17.
Suitability of multi-way methods to ensure food safety 18. Multiway Data
Analysis Applied to Miniaturized Spectroscopy 19. Multi-way Analysis in
Process Analytical Chemistry 20. Recent Applications of Multi-Way Data
Analysis for Multidimensional Gas Chromatography 21. Multi-way data
processing of hyphenated chromatographic data for the targeted and
non-targeted analysis of environmental samples 22. New application of
Trilinear Decomposition Models. Part 1 23. New application of Trilinear
Decomposition Models. Part 2