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"Nonstationarity in statistical process control issues, cases, ideas" by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker

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"Nonstationarity in statistical process control issues, cases, ideas" by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker

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dc.contributor.author Ferrer Riquelme, Alberto José es_ES
dc.date.accessioned 2013-12-17T11:30:29Z
dc.date.issued 2011
dc.identifier.issn 1524-1904
dc.identifier.uri http://hdl.handle.net/10251/34569
dc.language Inglés es_ES
dc.publisher Wiley-Blackwell es_ES
dc.relation.ispartof Applied Stochastic Models in Business and Industry es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title "Nonstationarity in statistical process control issues, cases, ideas" by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1002/asmb.913
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Ferrer Riquelme, AJ. (2011). "Nonstationarity in statistical process control issues, cases, ideas" by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker. Applied Stochastic Models in Business and Industry. 27(4):379-381. doi:10.1002/asmb.913 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://onlinelibrary.wiley.com/doi/10.1002/asmb.913/pdf es_ES
dc.description.upvformatpinicio 379 es_ES
dc.description.upvformatpfin 381 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 27 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 217301
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dc.description.references Nomikos, P., & MacGregor, J. F. (1995). Multivariate SPC Charts for Monitoring Batch Processes. Technometrics, 37(1), 41. doi:10.2307/1269152 es_ES
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dc.description.references Camacho, J., Picó, J., & Ferrer, A. (2008). Multi-phase analysis framework for handling batch process data. Journal of Chemometrics, 22(11-12), 632-643. doi:10.1002/cem.1151 es_ES
dc.description.references Kourti, T. (2003). Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions. Journal of Chemometrics, 17(1), 93-109. doi:10.1002/cem.778 es_ES
dc.description.references Kourti, T. (2003). Abnormal situation detection, three-way data and projection methods; robust data archiving and modeling for industrial applications. Annual Reviews in Control, 27(2), 131-139. doi:10.1016/j.arcontrol.2003.10.004 es_ES
dc.description.references González-Martínez, J. M., Ferrer, A., & Westerhuis, J. A. (2011). Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping. Chemometrics and Intelligent Laboratory Systems, 105(2), 195-206. doi:10.1016/j.chemolab.2011.01.003 es_ES
dc.description.references Ramsay, J. O., & Silverman, B. W. (Eds.). (2002). Applied Functional Data Analysis: Methods and Case Studies. Springer Series in Statistics. doi:10.1007/b98886 es_ES


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