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Capturing the data uncertainty change in the cocaine consumption in Spain using an epidemiologically based model

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Capturing the data uncertainty change in the cocaine consumption in Spain using an epidemiologically based model

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Anaya, C.; Burgos Simon, C.; Cortés, J.; Villanueva Micó, RJ. (2016). Capturing the data uncertainty change in the cocaine consumption in Spain using an epidemiologically based model. Abstract and Applied Analysis. 2016:1-9. https://doi.org/10.1155/2016/1758459

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Título: Capturing the data uncertainty change in the cocaine consumption in Spain using an epidemiologically based model
Autor: Anaya, Christopher Burgos Simon, Clara Cortés, J.-C. Villanueva Micó, Rafael Jacinto
Entidad UPV: Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses
Fecha difusión:
Resumen:
[EN] A probabilistic model is proposed to study the transmission dynamics of the cocaine consumption in Spain during the period of 1995–2011. Using the so-called probabilistic fitting technique, we study if the model is ...[+]
Derechos de uso: Reconocimiento (by)
Fuente:
Abstract and Applied Analysis. (issn: 1085-3375 ) (eissn: 1687-0409 )
DOI: 10.1155/2016/1758459
Editorial:
Hindawi Publishing Corporation
Versión del editor: http://dx.doi.org/10.1155/2016/1758459
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//MTM2013-41765-P/ES/METODOS COMPUTACIONALES PARA ECUACIONES DIFERENCIALES ALEATORIAS: TEORIA Y APLICACIONES/
Descripción: Copyright © 2016 Christopher Anaya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Agradecimientos:
This work has been partially supported by the Ministerio de Econom´ıa y Competitividad (Grant MTM2013-41765-P).
Tipo: Artículo

References

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