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Fundamentals and analytical applications of multiway calibration /

Fundamentals and Analytical Applications of Multi-Way Calibration presents researchers with a set of effective tools they can use to obtain the maximum information from instrumental data. It includes the most advanced techniques, methods, and algorithms related to multi-way calibration and the ways...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Mu�noz de la Pe�na, Arsenio (Editor ), Olivieri, Alejan C. (Editor ), Escandar, Graciela M. (Editor ), Goicoechea, H�ector C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, [2015]
Edición:First edition.
Colección:Data handling in science and technology ; 29.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 0 0 |a Fundamentals and analytical applications of multiway calibration /  |c Arsenio Mu�noz de la Pe�na, H�ector C. Goicoechea, Graciela M. Escandar, Alejandro C. Olivieri. 
246 3 |a Fundamentals and analytical applications of multi-way calibration 
250 |a First edition. 
264 1 |a Amsterdam, Netherlands :  |b Elsevier,  |c [2015] 
264 4 |c �2015 
300 |a 1 online resource (xix, 591 pages) 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Data handling in science and technology ;  |v 29 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed August 17, 2015). 
520 |a Fundamentals and Analytical Applications of Multi-Way Calibration presents researchers with a set of effective tools they can use to obtain the maximum information from instrumental data. It includes the most advanced techniques, methods, and algorithms related to multi-way calibration and the ways they can be applied to solve actual analytical problems. This book provides a comprehensive coverage of the main aspects of multi-way analysis, including fundamentals and selected applications of chemometrics that can resolve complex analytical chemistry problems through the use of multi-way calibration. 
505 0 |a Front Cover; Fundamentals and Analytical Applications of Multiway Calibration; Copyright; Contents; Contributors; Preface; References; References; References; Views on Multiway Calibration: Its Past and Future; Chapter 1: Fundamentals of PARAFAC; 1. Introduction; 2. Notation; 3. Second-Order Structure and Multiway Data; 4. The PARAFAC Model; 5. Algorithms; 5.1. Alternating Least-Squares; 5.2. Prediction; 6. PARAFAC Modeling and Validation; 6.1. Data Preprocessing; 6.2. Model Refinement and Constraints; 6.3. Model Diagnostics and Interpretation of Results; 6.3.1. Analysis of the Residuals. 
505 8 |a 6.3.2. Analysis of Spectral Loadings6.3.3. Core Consistency; 6.3.4. Split-Half Analysis; 6.3.5. Cross-Validation; 6.3.6. Departure from Trilinearity; 6.4. Figures of Merit; 6.4.1. Accuracy; 6.4.2. Sensitivity; 6.4.3. Selectivity; 6.4.4. Limit of Detection; 7. Application Example of PARAFAC; Appendix. Some Useful Products and Operators in Three-Way Data Analysis; References; Chapter 2: Usefulness of PARAFAC for the Quantification, Identification, and Description of Analytical Data; 1. Theoretical Elements; 1.1. PARAFAC Model; 1.2. Uniqueness and Partial Uniqueness; 1.3. Tucker3 Model. 
505 8 |a 1.4. PARAFAC2 Model1.5. Model Complexity; 2. Quantification and Identification with Excitation-Emission Molecular Fluorescence Data; 2.1. Case I: Determination of Ciprofloxacin (Added in Human Urine); 2.2. Case II: Determination of Ciprofloxacin (Added in Human Urine of a Patient Being Treated with Mesalazine); 2.3. Case III: Determination of Ciprofloxacin in Human Urine of a Patient Who Is Taking Ciprofloxacin; 3. Quantification and Identification with PTV-GC-MS Data in the Context of Regulated Analysis; 4. Quantification with Data of an Electronic Nose Based on Metal Oxide Sensors. 
505 8 |a 5. Describing the Grape Maturity at Harvest by Means of Physicochemical VariablesAcknowledgments; References; Chapter 3: Multiway Calibration Based on Alternating Multilinear Decomposition; 1. Introduction; 2. Terminology and Nomenclature in Multiway Data Analysis; 2.1. Terminology; 2.2. Nomenclature; 3. Multilinear Models; 3.1. Trilinear Model; 3.2. Quadrilinear Model; 3.3. Quinquelinear Model; 4. Advantages of Multiway Calibration; 4.1. Uniqueness Property; 4.2. Second- and Third-Order Advantages; 4.3. Multiway Cyclic Symmetry; 5. Algorithms for Multiway Calibration. 
505 8 |a 5.1. Second-Order Calibration5.1.1. Parallel Factor Analysis; 5.1.2. Alternating Trilinear Decomposition; 5.1.3. Self-Weighted Alternating Trilinear Decomposition; 5.1.4. Alternating Penalty Trilinear Decomposition; 5.1.5. Alternating Coupled Two-Unequal Residual Functions; 5.1.6. Algorithm Combination Methodology; 5.1.7. Comparison of Algorithms for Second-Order Calibration; 5.2. Third-Order Calibration; 5.2.1. Four-way PARAFAC; 5.2.2. Alternating Quadrilinear Decomposition; 5.2.3. Alternating Penalty Quadrilinear Decomposition. 
546 |a English. 
650 0 |a Calibration. 
650 0 |a Analytical chemistry. 
650 6 |a �Etalonnage.  |0 (CaQQLa)201-0003905 
650 6 |a Chimie analytique.  |0 (CaQQLa)201-0008034 
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650 7 |a Analytical chemistry.  |2 fast  |0 (OCoLC)fst00853459 
700 1 |a Mu�noz de la Pe�na, Arsenio,  |e editor. 
700 1 |a Olivieri, Alejan C.,  |e editor. 
700 1 |a Escandar, Graciela M.,  |e editor. 
700 1 |a Goicoechea, H�ector C.,  |e editor. 
776 0 8 |i Print version:  |a Olivieri, Alejandro C.  |t Fundamentals and Analytical Applications of Multi-way Calibration.  |d Burlington : Elsevier Science, �2015  |z 9780444635273 
830 0 |a Data handling in science and technology ;  |v 29. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780444635273  |z Texto completo 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/bookseries/09223487/29  |z Texto completo