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Seven habits of highly successful input modelers
1997
Proceedings of the 29th conference on Winter simulation - WSC '97
Discrete-event simulation models typically have stochastic components that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a close match between the input model and the true underlying probabilistic mechanism associated with the system. The general question considered here is how to model an element (e.g., arrival process, service times) in a discrete-event simulation given a data set collected on the element of interest. For brevity, it is
doi:10.1145/268437.268445
fatcat:2addsp27drbaxlbd4xmhi2o4lu