Description
Product ID: | 9780443132612 |
Product Form: | Paperback / softback |
Country of Manufacture: | GB |
Series: | Data Handling in Science and Technology |
Title: | Fundamentals and Applications of Multiway Data Analysis |
Authors: | Author: Alejandro , Facultad de Ciencias Bioquimicas y Farmaceuticas,Argentina) Olivieri, Hector C. , Catedra de Quimica Analitica I, Facultad de Bioquimica y Ciencias Biologicas, Universid, Graciela M. , Facultad de Ciencias Bioquimicas y Farmaceuticas, Argentina) Escandar, Arsenio Munoz de la Pena |
Page Count: | 708 |
Subjects: | Materials science, Materials science |
Description: | Select Guide Rating 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. 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. |
Imprint Name: | Elsevier - Health Sciences Division |
Publisher Name: | Elsevier - Health Sciences Division |
Country of Publication: | GB |
Publishing Date: | 2024-01-22 |