A tutorial given at a symposium on the interface between computer science and statistics sponsored by UCLA Extension, The American Statistical Association (Southern California Chapter), and the Association for Computing Machinery (Los Angeles Chapter), February 1, 1967. This paper describes some fundamental statistical problems that should be recognized at all stages of a system simulation that is, or contains, a queueing network, such as inventory models and job shop manufacturing facilities. Such a simulation is the generation of stochastic processes by Monte Carlo methods. While simulation languages such as SIMSCRIPT and GPSS have been developed and refined during the past decade, very little work has been done in applying statistical methodology to the analysis of computer simulations. (See also RM-4880, RM-5288.) 7 pp. Ref.
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