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Solving the Random Pielou Logistic Equation with the Random Variable Transformation Technique: Theory and Applications

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Solving the Random Pielou Logistic Equation with the Random Variable Transformation Technique: Theory and Applications

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Cortés, J.; Navarro-Quiles, A.; Romero, J.; Roselló, M. (2019). Solving the Random Pielou Logistic Equation with the Random Variable Transformation Technique: Theory and Applications. Mathematical Methods in the Applied Sciences. 42(17):5708-5717. https://doi.org/10.1002/mma.5440

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/139845

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Title: Solving the Random Pielou Logistic Equation with the Random Variable Transformation Technique: Theory and Applications
Author: Cortés, J.-C. Navarro-Quiles, A. Romero, José-Vicente Roselló, María-Dolores
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] The study of the dynamics of the size of a population via mathematical modelling is a problem of interest and widely studied. Traditionally, continuous deterministic methods based on differential equations have been ...[+]
Subjects: First probability density function , Modelling real data , Pielou logistic equation , Population dynamics , Random difference stochastic equations , Random variable transformation technique
Copyrigths: Reserva de todos los derechos
Source:
Mathematical Methods in the Applied Sciences. (issn: 0170-4214 )
DOI: 10.1002/mma.5440
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1002/mma.5440
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION Y APLICACIONES/
Thanks:
This work has been partially supported by the Ministerio de Economía y Competitividad grant MTM2017-89664-P
Type: Artículo

References

Kwasnicki, W. (2013). Logistic growth of the global economy and competitiveness of nations. Technological Forecasting and Social Change, 80(1), 50-76. doi:10.1016/j.techfore.2012.07.007

Chen-Charpentier, B. M., & Stanescu, D. (2011). Biofilm growth on medical implants with randomness. Mathematical and Computer Modelling, 54(7-8), 1682-1686. doi:10.1016/j.mcm.2010.11.075

Wolfram Research Inc.Mathematica. Version 11.2 Champaign IL;2018.

CNMC Comisión Nacional de los Mercados y la Competencia.http://data.cnmc.es/datagraph/jsp/inf_anual.jsp Accessed: 2018‐07‐24 (in Spanish).

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