作者: P.K. Pollett , A.H. Dooley , J.V. Ross
DOI: 10.1016/J.MBS.2009.11.008
关键词: Stochastic modelling 、 Mathematics 、 Variation (linguistics) 、 Population 、 Differential equation 、 Observability 、 Initial value problem 、 Population model 、 Statistics 、 Stochastic process
摘要: Population dynamics are almost inevitably associated with two predominant sources of variation: the first, demographic variability, a consequence chance in progenitive and deleterious events; second, initial state uncertainty, partial observability reporting delays errors. Here we outline general method for incorporating random conditions population models where deterministic model is sufficient to describe population. Additionally, show that large class stochastic overall variation sum due dynamics, thus able quantify not accounted when ignored. Our results illustrated reference both simulated real data.