COMPUTATIONAL MODELING WITH UNCERTAINTY OF FREQUENT USERS OF E-COMMERCE IN SPAIN USING AN AGE-GROUP DYNAMIC NONLINEAR MODEL WITH VARYING SIZE POPULATION
C. Burgos,
J. C. Cortés (),
D. Martínez-Rodríguez () and
R. J. Villanueva ()
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C. Burgos: Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, c/Camino de Vera s/n, Valencia 46022, Spain
J. C. Cortés: Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, c/Camino de Vera s/n, Valencia 46022, Spain
D. Martínez-Rodríguez: Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, c/Camino de Vera s/n, Valencia 46022, Spain
R. J. Villanueva: Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, c/Camino de Vera s/n, Valencia 46022, Spain
Advances in Complex Systems (ACS), 2019, vol. 22, issue 04, 1-17
Abstract:
Electronic commerce (EC) has numerous advantages. It allows saving time when we purchase an item, offers the possibility of review without depending on the schedules of traditional stores, access to a wider variety and quantity of articles, in many cases, with lower prices, etc. Based upon mathematical epidemiology tenets strongly related to social behavior able to describe the influence of peers, in this paper we propose an age-group dynamic model with population varying size based on a system of difference equations to study the evolution of the frequent users of EC over time in Spain. Using data from surveys retrieved from the Spanish National Statistics Institute, we use and design computational algorithms to perform a probabilistic estimation of the model parameters that allow the model output to capture the data uncertainty. Then, we will be able to perform a precise prediction with uncertainty.
Keywords: Electronic Commerce; real-world mathematical model; nonlinear system of difference equations; uncertainty quantification (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:22:y:2019:i:04:n:s0219525919500097
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DOI: 10.1142/S0219525919500097
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