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, Ivan
Martínez Rodríguez, David
Villanueva, Rafael J.
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/41734
Acceso en línea:
https://doi.org/10.15446/dyna.v85n207.68545
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050270297&doi=10.4067%2fS0718-09502018000100079&partnerID=40&md5=90916fcfb18206ca1ad29fa07936e98d
https://hdl.handle.net/20.500.12494/41734
Palabra clave:
Inverse problem
Nonlinear stochastic model
Probability density function
Random optimization computational methods
Uncertainty quantification
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb