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Statistical Model

 Statistical models comprise two interwoven components: a deterministic model describing the deterministic organic process and a stochastic component describing how random variation influences the method . The deterministic component typically, but not always, forms the organic process of interest. For example, the deterministic model could also be relatively straightforward, like exponential population growth; could include an outline of multiple populations, like coupled predator-prey models; or may explicitly describe within-population structure, such as size-structured dynamics. The possibilities are endless – and really only limited by the numerical methods available to simulate population dynamics. The stochastic component(s) of a statistical model are described by probability distributions that can take on a wide range of functions.

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