仿真模型确认中的数据有效性分析
Analysis of Data Validity in SimulationModel Validation
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摘要: 给出在仿真模型确认中的数据有效性分析方法.对于测量数据可采用统计的方法,如Grubbs准则和t检 验准则;在小样本未知分布的情况下,可采用非统计方法,如信息熵判别法和灰色理论判别法.通过实例说明这 些方法的应用.这些方法的使用有助于仿真模型确认的研究.Abstract: The analysismethods of data validity in simulationmodel validation are presented. The statistical analysis, such as the Grubbs criterion and thettest criterion, can be used for validation ofmeasured data, while the non-statistical analysis, such as the entropy discrimination method and the gray theory discrimination method,should be adopted under the condition that the number of samples is small and the distribution is unknown. Finally, examples are given to illustrate the use of these methods
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