Dealing with variability in ecological modelling: An analysis of a random non-autonomous logistic population model
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Títol
Dealing with variability in ecological modelling: An analysis of a random non-autonomous logistic population modelData de publicació
2021-05-09Editor
John Wiley & Sons, Ltd.ISSN
0170-4214; 1099-1476Cita bibliogràfica
Calatayud, J., Cortés, J. C., Dorini, F. A., & Jornet, 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), 3318-3333Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
This paper presents a methodology to deal with the randomness associated toecological modelling. Data variability makes it necessary to analyse the impactof random perturbations on the fitted model parameters. We ... [+]
This paper presents a methodology to deal with the randomness associated toecological modelling. Data variability makes it necessary to analyse the impactof random perturbations on the fitted model parameters. We conduct suchanalysis for the logistic growth model with a certain sigmoid functional formof the carrying capacity, which was proposed in the literature for the study ofparasite growth during infection. We show how the probability distributions ofthe parameters are set via the maximum entropy principle. Then the randomvariable transformation method allows for computing the density function ofthe population. [-]
Publicat a
Mathematical Methods in the Applied Sciences, Vol. 45, Iss. 6. Special Issue: Mathematical Modelling in Engineering & Human Behavior 2020 (April 2022)Entitat finançadora
Agencia Estatal de Investigación (AEI) | Ministerio de Economía y Competitividad
Codi del projecte o subvenció
PID2020-115270GB-I00
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© 2021John Wiley & Sons, Ltd.
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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