SIMIODE

1. 1-039-S-StochasticPopModels

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   11 Sep 2016 | Modeling Scenarios | Contributor(s): Dan Flath

   We offer students the opportunity to develop several strategies for creating a population model using some simple probabilistic assumptions. These assumptions lead to a system of differential equations for the probability that a system is in state (or population size) n at time t. We go further...

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