Simulation testing provides information about the performance of the model in speci c circumstances,which is a major source of information for analysts. Informing about regions of the parameters space that may require more attention in order to overcome problems that surfaced during testing phase. Simulation testing Per se does not cover the full range of situations that may occur, these are a lot wider than it's possible to simulate. The simulation environment does allow a controlled experiment to be carried out which gives information about the capacity of the model to reconstruct the underlying reality under speci c conditions. Furthermore, these simulation studies allows testing the adjustment of models without much human intervention (automatic adjustments), a major objective of the framework developed here.
Simulation testing provides information about the performance of the model in speci c circumstances,which is a major source of information for analysts. Informing about regions of the parameters space that may require more attention in order to overcome problems that surfaced during testing phase. Simulation testing Per se does not cover the full range of situations that may occur, these are a lot wider than it's possible to simulate. The simulation environment does allow a controlled experiment to be carried out which gives information about the capacity of the model to reconstruct the underlying reality under speci c conditions. Furthermore, these simulation studies allows testing the adjustment of models without much human intervention (automatic adjustments), a major objective of the framework developed here.
Uploaded by Marco Ferretti, 30.04.2013 15:20