  Models for forecasting earthquakes are currently tested prospectively in
well-organized testing centers, using data collected after the models and their
parameters are completely specified. The extent to which these models agree
with the data is typically assessed using a variety of numerical tests, which
unfortunately have low power and may be misleading for model comparison
purposes. Promising alternatives exist, especially residual methods such as
super-thinning and Voronoi residuals. This article reviews some of these tests
and residual methods for determining the goodness of fit of earthquake
forecasting models.
