书目名称 | The Simulation Metamodel | 编辑 | Linda Weiser Friedman | 视频video | | 图书封面 |  | 描述 | Researchers develop simulation models that emulate real-worldsituations. While these simulation models are simpler than the realsituation, they are still quite complex and time consuming to develop.It is at this point that .metamodeling. can be used to help builda simulation study based on a complex model. A .metamodel. is asimpler, analytical model, auxiliary to the simulation model, which isused to better understand the more complex model, to test hypothesesabout it, and provide a framework for improving the simulation study..The use of metamodels allows the researcher to work with a set ofmathematical functions and analytical techniques to test simulationswithout the costly running and re-running of complex computerprograms. In addition, metamodels have other advantages, and as aresult they are being used in a variety of ways: model simplification,optimization, model interpretation, generalization to other models ofsimilar systems, efficient sensitivity analysis, and the use of themetamodel‘s mathematical functions to answer questions about differentvariables within a simulation study. | 出版日期 | Book 1996 | 关键词 | Simulation; linear optimization; linear regression; model; modeling; optimization; regression; sensitivity | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4613-1299-4 | isbn_softcover | 978-1-4612-8556-4 | isbn_ebook | 978-1-4613-1299-4 | copyright | Kluwer Academic Publishers 1996 |
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