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Original Articles

Modeling and Generating Stochastic Inputs for Simulation Studies

Pages 203-223 | Published online: 14 Aug 2013
 

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.

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