Uncertainty quantification for hybrid random logistic models with harvesting via density functions-Reference-Cited by-同舟云学术

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

Published:2022-02 Issue: Volume:155 Page:111762
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Cortés J.-C.,Moscardó-García A.,Villanueva R.-J.

Funder

Generalitat Valenciana

State Agency of Research

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference43 articles.

1. An essay on the principle of population and other writings;Malthus,1798

2. Evolution equations arising in the modelling of life sciences;Efendiev,2013

3. The great wave: price revolutions and the rhythm of history;Fischer,1996

4. A new ecology: systems perspective;Jørgensen,2007

5. Fundamentals of ecological modelling;Jørgensen,2011

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probabilistic analysis of a general class of nonlinear random differential equations with state-dependent impulsive terms via probability density functions;Communications in Nonlinear Science and Numerical Simulation;2023-05

2. Nonlinear hybrid systems and control in social and natural sciences;Chaos, Solitons & Fractals;2022-12

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