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A probabilistic estimation and prediction technique for dynamic continuous social science models: The evolution of the attitude of the Basque Country population towards ETA as a case study

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A probabilistic estimation and prediction technique for dynamic continuous social science models: The evolution of the attitude of the Basque Country population towards ETA as a case study

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Cortés, J.; Santonja, F.; Tarazona Tornero, AC.; Villanueva Micó, RJ.; Villanueva Oller, FJ. (2015). A probabilistic estimation and prediction technique for dynamic continuous social science models: The evolution of the attitude of the Basque Country population towards ETA as a case study. Applied Mathematics and Computation. 264:13-20. doi:10.1016/j.amc.2015.03.128

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Title: A probabilistic estimation and prediction technique for dynamic continuous social science models: The evolution of the attitude of the Basque Country population towards ETA as a case study
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
In this paper, a computational technique to deal with uncertainty in dynamic continuous models in Social Sciences is presented.Considering data from surveys,the method consists of determining the probability distribution ...[+]
Subjects: Social dynamic models , Probabilistic estimation , Probabilistic prediction , Attitude dynamics
Copyrigths: Reserva de todos los derechos
Source:
Applied Mathematics and Computation. (issn: 0096-3003 )
DOI: 10.1016/j.amc.2015.03.128
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.amc.2015.03.128
Thanks:
This work has been partially supported by the Spanish M.C.Y.T. grant MTM2013-41765-P.
Type: Artículo

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