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Any simulation model that does not contain any random or probabilistic element is called

a deterministic simulation model. The characteristic of this type of simulation model is

that the output is determined when the set of input elements and properties in the model

have been specified. For example, a deterministic simulation model can represent a

complicated system of differential equations.

Many simulation models however, have at least one element that is random, which gives

rise to the stochastic simulation model. In most simulation models randomness is

important to mimic the real scenario, for example user connections to the internet arise

'randomly' when a person pressing a key. However, for any stochastic simulation model

that has random output, the output (numerical results) can only be treated as an estimate

of the true output parameters of the model

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