Modeling the Dynamics of the Frequent Users of Electronic Commerce in Spain Using Optimization Techniques for Inverse Problems with Uncertainty

In this paper, we retrieve data about the frequent users of electronic commerce during the period 2011–2016 from the Spanish National Institute of Statistics. These data, coming from surveys, have intrinsic uncertainty that we describe using appropriate random variables. Then, we propose a stochasti...

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Autores:
Burgos, Clara
Cortés, Juan Carlos
Lombana, Iván Camilo
Martínez Rodríguez, David
Villanueva, Rafael Jacinto
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/28358
Acceso en línea:
https://doi.org/10.1007/s10957-018-1382-6
https://hdl.handle.net/20.500.12494/28358
Palabra clave:
Inverse problem
Uncertainty quantification
Random optimization computational methods
Nonlinear stochastic model
Probability density function
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