选择输入模型和随机变量生成

R. Cheng
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引用次数: 3

摘要

离散事件模拟几乎总是使用从给定概率分布中抽取的随机量来模拟机会波动。本入门教程将讨论用于获取此类随机变量的基本思想和技术。本文主要讨论了两个问题:如何选择合适的分布来模拟不同的数量(如到达时间和服务时间),以及如何从选择的分布中实际生成变量值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selecting Input Models and Random Variate Generation
Discrete-event simulation almost invariably makes uses of random quantities drawn from given probability distributions to model chance fluctuations. This introductory tutorial discusses the basic ideas and techniques used to obtain such random variates. The two main points addressed are how appropriate distributions should be selected to model different quantities like arrival and service times, and how the variate values should actually be generated from the selected distributions.
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