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1. IntroductionMost simulations can be classified as either finite-horizon or steady-state simulations. A finite-horizon (terminating) simulation usually has a given starting condition, and it ends at a specific time or with the occurrence of a specific terminating condition. On the other hand, a steady-state (nonterminating) simulation operates (at least conceptually) into the indefinite future, and in this case interest centers on long-run average performance, which presumably is independent of the starting condition. In a steady-state simulation experiment, the user typically seeks to construct point and confidence interval (CI) estimates for some parameter or characteristic of the steady-state cumulative distribution function (c.d.f.) of a discrete- or continuous-time output process. In this article, interest is focused primarily on...
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