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Abstract

The authors present a state-of-the-art review of the statistical considerations, both strategic and tactical, in computer simulation.Strategic considerations include the simulation model, the metamodel, and the simulation typ.Tactical considerations reviewed include parameterestimation, initialization bias, variance reduction, run length/sample size, and experimental designs in simulation.

^†tThis article has been taken, in part, from the senior aurhor's doctoral dissertation submitted to the Faculty of the Polytechnic Institute of New York in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Operations Research), 1983.

^†tThis article has been taken, in part, from the senior aurhor's doctoral dissertation submitted to the Faculty of the Polytechnic Institute of New York in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Operations Research), 1983.

Notes

^†tThis article has been taken, in part, from the senior aurhor's doctoral dissertation submitted to the Faculty of the Polytechnic Institute of New York in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Operations Research), 1983.