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

Authors :
Burgos, Clara
Cortés, Juan-Carlos
Lombana, Iván-Camilo
Martínez-Rodríguez, David
Villanueva, Rafael-J.
Source :
Journal of Optimization Theory & Applications; Aug2019, Vol. 182 Issue 2, p785-796, 12p
Publication Year :
2019

Abstract

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 stochastic model to study the dynamics of frequent users of electronic commerce. The goal of this paper is to solve the inverse problem that consists of determining the model parameters as suitable parametric random variables, in such a way the model output be capable of capturing the data uncertainty, at the time instants where sample data are available, via adequate probability density functions. To achieve the aforementioned goal, we propose a computational procedure that involves building a nonlinear objective function, based on statistical moment measures, to be minimized using a variation of the particle swarm optimization algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00223239
Volume :
182
Issue :
2
Database :
Complementary Index
Journal :
Journal of Optimization Theory & Applications
Publication Type :
Academic Journal
Accession number :
137075661
Full Text :
https://doi.org/10.1007/s10957-018-1382-6