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Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation

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Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation

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Vitale, R. (2017). Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation [Tesis doctoral no publicada]. Universitat Politècnica de València. doi:10.4995/Thesis/10251/90442

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/90442

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Title: Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation
Author:
Director(s): Ferrer Riquelme, Alberto José De Noord, Onno E.
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
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2017-09-18
Issued date:
Abstract:
The present Ph.D. thesis, primarily conceived to support and reinforce the relation between academic and industrial worlds, was developed in collaboration with Shell Global Solutions (Amsterdam, The Netherlands) in the ...[+]


La presente tesis doctoral, concebida principalmente para apoyar y reforzar la relación entre la academia y la industria, se desarrolló en colaboración con Shell Global Solutions (Amsterdam, Países Bajos) en el esfuerzo ...[+]


La present tesi doctoral, concebuda principalment per a recolzar i reforçar la relació entre l'acadèmia i la indústria, es va desenvolupar en col·laboració amb Shell Global Solutions (Amsterdam, Països Baixos) amb l'esforç ...[+]
Subjects: chemometrics , multivariate data analysis , Principal Component Analysis (PCA) , Partial Least Squares regression (PLS) , Partial Least Squares Discriminant Analysis (PLSDA) , algorithms , kernel-based techniques , pseudo-sample projection , permutation testing , common and distinctive component analysis , on-the-fly data processing
Copyrigths: Reserva de todos los derechos
DOI: 10.4995/Thesis/10251/90442
Type: Tesis doctoral

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