Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters-Reference-Cited by-同舟云学术

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Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters

Published:2020-09 Issue: Volume:138 Page:109908
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Bevia V.,Burgos C.,Cortés J.-C.^ORCID,Navarro-Quiles A.^ORCID,Villanueva R.-J.

Publisher

Elsevier BV

Subject

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

Reference52 articles.

1. Complex population dynamics. nonlinear modeling in ecology, epidemiology and genetics;Blasius,2014

2. An introduction to mathematical biology;Allen,2007

3. Complex population dynamics: a theoretical/empirical synthesis, monographs in population biology;Turchin,2003

4. The role of model integration in complex systems modelling: an example from cancer biology, understanding complex systems;Patel,2010

5. Stochastic differential equations: theory and applications;Arnold,1992

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