Analysis of Data Validity in SimulationModel Validation

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