SYNOPTIC ABSTRACT
The problem of modeling and generating stochastic inputs for simulation studies is reviewed. A state-of-the-art review of univariate random variate generation is provided. A brief treatment of the generation of order statistics is also given. Some general systems of distributions are discussed as models to fit data when the underlying distribution is unknown. A comprehensive list of references is included.