Validation of Simulation Models, Stochastic Model Validation, Hypothesis Tests of Intervals, Operating Characteristic Curve, Risk Curve
Electrical and Computer Engineering
We describe a new statistical procedure for validating simulation and analytic stochastic models using hypothesis testing when the amount of model accuracy is specified. This procedure provides for the model to be accepted if the difference between the system and the model outputs are within the specified ranges of accuracy. The system must be observable to allow data to be collected for validation.