Abstract
This chapter presents statistical concepts and definitions that are used when designing a simulation model. We start, in the first instance, by considering a conceptual model, then the need to verify the initial data for the model, followed, if necessary, by the data that can be adjusted to some probability distribution, where validating this adjustment also involves statistical concepts. Later, once the results are in, we consider the experiments that need to be done, as well as the replications, ending up with the analysis of the data obtained.
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De La Mota, I.F., Guasch, A. (2017). Elements of Statistics for Simulation. In: Robust Modelling and Simulation. Springer, Cham. https://doi.org/10.1007/978-3-319-53321-6_2
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DOI: https://doi.org/10.1007/978-3-319-53321-6_2
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