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These forecasts are tested against the reference Poisson model that is stationary in time but spatially inhomogeneous.
Their forecasts are tested against the number ω x,t) of observed target earthquakes in each bin (Schorlemmer et al. 2007).
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OSELM forecasts were tested with daily, monthly or yearly model updates.
These forecasts were test against the reference model, the Poisson process which is stationary in time but spatially inhomo-geneous.
In this paper, the forecast models are tested using data collected from two RTG cranes over three separate time periods.
Moreover, three forecast models are tested to evaluate the impact of weather prediction accuracy on the ESS design.
Like in all other CSEP experiments, we perform rigorous prospective tests only: The forecasts of each model are tested against future seismicity only; no prior knowledge was available during the creation of the forecasts.
As part of the rules of each experiment, we have to define the earthquake catalog against which the forecasts will be tested (testing catalog) as well as the earthquake catalog that can be used as input data for generating earthquake forecasts (learning catalog).
Additionally, forecasts up to 1 month are tested and compared with a persistence model.
The other 15 groups of measured data are tested as forecast samples, of which the predicted results are consistent with the measured ones.
However, no seasonal time series forecast has been tested.
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