![]() Whereas a classical sampling experiment in statistics is most often performed directly upon raw data, a simulation entails first of all the construction of an abstract model of the system to be studied. Analogic Models : These are models that are a step down from the first category in that they are physical models as well, but use a physical analog to describe the. Operational research (OR) is the discipline of using models, either quantitative or qualitative, to aid decision-making in complex problems. The feature which distinguishes a simulation from a mere sampling experiment in the classical sense is that of the stochastic model. In general, such models are not very common in operations research, mainly because getting accurate representations of complex systems through physical models is often impossible. ![]() The term ‘Monte Carlo’ is presently somewhat fashionable, the term ‘simulation’ is to be preferred, because it does not suggest that the technique is limited to what is familiar to statisticians as a sampling experiment.īy simulation is meant the technique of setting up a stochastic model of a real situation, and then performing sampling experiments upon the model. The purpose of this paper is to give an introductory account of the techniques of simulation, to present a few of the leading ideas which have been developed, and to draw attention to what is in fact a very open and somewhat ill-defined subject.Ĭonsiderable confusion exists over the best terminology to use. ![]()
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