Use of the interval statistical procedure for simulation model validation

In this tutorial we discuss the use of a recently published statistical procedure for the validation of models that have their required model accuracy specified as a range, often called the acceptable range of accuracy. This new statistical procedure uses a hypothesis test of an interval, considers both Type I and Type II errors through the use of the operating characteristic curve, and provides the model builder´s risk curve and the model user´s risk curve. A detailed procedure for validating simulation models using this interval hypothesis test is given, computer software developed for this procedure is briefly described, and examples of simulation model validation using the procedure and software are presented.