Uncertainty quantification for hybrid random logistic models with harvesting via density functions

The so-called logistic model with harvesting, p′(t)=rp(t)(1−p(t)K)−c(t)p(t), p(t0)=p0, is a classical ecological model that has been extensively studied and applied in the deterministic setting. It has also been studied, to some extent, in the stochastic framework using the Itô Calculus by formulati...

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Veröffentlicht in:	Chaos, solitons and fractals Jg. 155; S. 111762
Hauptverfasser:	Cortés, J.-C., Moscardó-García, A., Villanueva, R.-J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2022
Schlagworte:	First probability density function Hybrid random differential equation Random variable transformation technique Real-world application Uncertainty quantification Uncertainty quantification First probability density function Random variable transformation technique Real-world application Hybrid random differential equation
ISSN:	0960-0779, 1873-2887
Online-Zugang:	Volltext
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