- -

Comparison of multivariate statistical methods for dynamic systems modeling

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Comparison of multivariate statistical methods for dynamic systems modeling

Show full item record

Barceló Cerdá, S.; Vidal Puig, S.; Ferrer, A. (2011). Comparison of multivariate statistical methods for dynamic systems modeling. Quality and Reliability Engineering International. 27(1):107-124. doi:10.1002/qre.1102

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/61126

Files in this item

Item Metadata

Title: Comparison of multivariate statistical methods for dynamic systems modeling
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
In this paper two multivariate statistical methodologies are compared in order to estimate a multi-input multi-output transfer function model in an industrial polymerization process. In these contexts, process variables ...[+]
Subjects: Box-Jenkins , MIMO transfer function model , PLS , Process dynamics , Time series , Autocorrelated , Box-Jenkins methodology , Dynamic systems modeling , Estimated model , Goodness of fit , Graphical tools , Linear regression models , Multi-input multi-output , Multivariate statistical method , Multivariate time series , Partial least squares , Polymerization process , Process Modeling , Process Variables , Time dependence , Transfer function model , MIMO systems , Multivariant analysis , Polymerization , Regression analysis , Transfer functions , Time series analysis
Copyrigths: Reserva de todos los derechos
Source:
Quality and Reliability Engineering International. (issn: 0748-8017 )
DOI: 10.1002/qre.1102
Publisher:
Wiley-Blackwell
Publisher version: http://dx.doi.org/10.1002/qre.1102
Description: This is the accepted version of the following article: Barceló, S., Vidal-Puig, S. and Ferrer, A. (2011), Comparison of multivariate statistical methods for dynamic systems modeling. Qual. Reliab. Engng. Int., 27: 107–124, which has been published in final form at http://dx.doi.org/10.1002/qre.1102.
Thanks:
This research was partially supported by the Spanish Government (MICINN) and the European Union (RDE funds) under grant DPI2008-06880-C03-03/DPI.
Type: Artículo

This item appears in the following Collection(s)

Show full item record