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Work smarter, not harder: guidelines for designing simulation experiments

机译:更聪明,更艰苦地工作:设计仿真实验的准则

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We present the basic concepts of experimental design, the types of goals it can address, and why it is such an important and useful tool for simulation. A well-designed experiment allows the analyst to examine many more factors than would otherwise be possible, while providing insights that could not be gleaned from trial-and-error approaches or by sampling factors one at a time. We focus on experiments that can cut down the sampling requirements of some classic designs by orders of magnitude, yet make it possible and practical to develop an understanding of a complex simulation model and gain insights into its behavior. Designs that we have found particularly useful for simulation experiments are illustrated using simple simulation models, and we provide links to other resources for those wishing to learn more. Ideally, this tutorial leaves you excited about experimental designs - and prepared to use them - in your upcoming simulation studies.
机译:我们介绍了实验设计的基本概念,它可以解决的目标类型以及为什么它是如此重要且有用的仿真工具。一个经过精心设计的实验可以使分析人员检查多于其他因素的因素,同时提供无法从试错法或一次抽样的因素中获得的见解。我们专注于可以将一些经典设计的采样需求减少几个数量级的实验,但是这使得对复杂的仿真模型的理解和对行为的洞察力成为可能和切实可行。使用简单的仿真模型说明了我们发现对仿真实验特别有用的设计,并且为那些希望了解更多信息的人提供了指向其他资源的链接。理想情况下,本教程会让您对实验设计感到兴奋,并准备在即将进行的模拟研究中使用它们。

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