Alejandro Olivieri and Graciela M. Escandar, Rosario Institute of Chemistry (IQUIR-CONICET), Department of Analytical Chemistry, Faculty of Biochemcial and Pharmaceutical Sciences, National University of Rosario, Suipacha 531, Rosario (2000), Argentina
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xiii, 314 pages ;
Dimensions
25 cm
GENERAL NOTES
Text of Note
Machine generated contents note: Foreword 1. Calibration Scenarios 2. Data Properties 3. Experimental Three-Way/Second-Order Data 4. The Mvc2 Software 5. Parallel Factor Analysis: Trilinear Data 6. Analytical Figures of Merit 7. Parallel Factor Analysis: Non-Trilinear Data of Type 1 8. Multivariate Curve Resolution-Alternating Least-Squares 9. Partial Least-Squares with Residual Bilinearization 10. Three-Way/Second-Order Standard Addition 11. Third-Order/Four-Way Calibration and Beyond 12. Application Example: Parafac 13. Application Example: Mcr-Als 14. Application Example: U-Pls/Rbl 15. Solutions to Homework
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
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Includes bibliographical references and index
SUMMARY OR ABSTRACT
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"This book is about chemometrics. In general terms, chemometrics has the purpose of extracting information from chemical systems by a suitable combination of mathematics, statistics and computer science. It is usually applied to solve chemical problems which can be primarily classified as either descriptive or predictive. In descriptive applications, properties of chemical systems are modeled with the aim of learning underlying relationships and structure, in most cases with a classification scheme in mind, i.e., discriminating objects as belonging to a given class. In predictive applications, on the other hand, the emphasis is on modeling the properties of chemical systems, with the purpose of predicting them in new, unknown specimens. Analytical calibration belongs to this latter type of problems, where the property of interest is typically the concentration of one or more selected analytes in a sample"--