Skip to main content

Fundamentals and Applications of Multiway Data Analysis

  • 1st Edition - January 1, 2024
  • Editors: Alejandro Olivieri, Graciela M. Escandar, Héctor C. Goicoechea, Arsenio Muñoz de la Peña
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 1 3 2 6 1 - 2
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 1 3 2 6 2 - 9

Fundamentals and Applications of Multiway Data Analysis provides comprehensive coverage of the main aspects of multiway analysis, including selected applications that can resolve c… Read more

Fundamentals and Applications of Multiway Data Analysis

Purchase options

Limited Offer

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Book bundle cover eBook and print

Institutional subscription on ScienceDirect

Request a sales quote

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.