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An important, but often neglected, part of any sound simulation study is that of modeling each source of system randomness by an appropriate probability distribution. We first give some examples of data sets from real-world simulation studies, which is followed by a discussion of two critical pitfalls in simulation input modeling. The two major methods for modeling a source of randomness when corresponding data are available are delineated, namely, fitting a theoretical probability distributiondoi:10.1109/wsc.2011.6147859 dblp:conf/wsc/Law11a fatcat:77jr2taty5f55ksvkcbx3mplka