Fundamentals and Applications of Multiway Data Analysis

Par : Alejandro Olivieri, Graciela Escandar, Héctor Goicoechea, Arsenio Muñoz de la Peña
    • Nombre de pages688
    • PrésentationBroché
    • FormatGrand Format
    • Poids1.135 kg
    • Dimensions15,0 cm × 23,0 cm × 3,3 cm
    • ISBN978-0-443-13261-2
    • EAN9780443132612
    • Date de parution22/01/2024
    • CollectionData Handling in Science and T
    • ÉditeurElsevier

    Résumé

    Fundamentals and Applications of Multiway Data Analysis provides a 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 with 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 modeling for solving calibration and classification tasks, and the way they can be applied. This book 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.
    Fundamentals and Applications of Multiway Data Analysis provides a 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 with 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 modeling for solving calibration and classification tasks, and the way they can be applied. This book 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.