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Dealing with variability in ecological modelling: An analysis of a random non-autonomous logistic population model

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Dealing with variability in ecological modelling: An analysis of a random non-autonomous logistic population model

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Calatayud Gregori, J.; Cortés, J.; Dorini, FA.; Jornet Sanz, M. (2022). Dealing with variability in ecological modelling: An analysis of a random non-autonomous logistic population model. Mathematical Methods in the Applied Sciences. 45(6):3318-3333. https://doi.org/10.1002/mma.7458

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/192202

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Title: Dealing with variability in ecological modelling: An analysis of a random non-autonomous logistic population model
Author: Calatayud Gregori, Julia Cortés, J.-C. Dorini, Fábio A. Jornet Sanz, Marc
UPV Unit: Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses
Issued date:
Abstract:
[EN] This paper presents a methodology to deal with the randomness associated to ecological modelling. Data variability makes it necessary to analyse the impact of random perturbations on the fitted model parameters. We ...[+]
Subjects: Logistic growth model , Time-varying carrying capacity , Random parameters , Probability density function
Copyrigths: Reserva de todos los derechos
Source:
Mathematical Methods in the Applied Sciences. (issn: 0170-4214 )
DOI: 10.1002/mma.7458
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1002/mma.7458
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/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115270GB-I00/ES/ECUACIONES DIFERENCIALES ALEATORIAS. CUANTIFICACION DE LA INCERTIDUMBRE Y APLICACIONES/
Thanks:
Spanish Ministerio de Economia y Competitividad, Grant/Award Number: PID2020-115270GB-I00; Agencia Estatal de Investigacion
Type: Artículo

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