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Preprints Archive: Abstract of IC2010047 (2010)
Earthquake prediction analysis based on empirical seismic rate: The M8 algorithm
Document info: Pages 30, Figures 5.
The quality of space-time earthquake prediction is usually characterized by a two- dimensional error diagram (n,\tau), where n is the rate of failures-to-predict and \tau is the normalized measure of space-time alarm. The most reasonable space measure for analysis of a prediction strategy is the rate of target events \lambda(dg) in a sub-area dg. In that case the quantity H =1-(n+\tau) determines the prediction capability of the strategy. The uncertainty of \lambda(dg) causes difficulties in estimating H and the statistical significance, \alpha, of prediction results. We investigate this problem theoretically and show how the uncertainty of the measure can be taken into account in two situations, viz., the estimation of \alpha and the construction of a confidence zone for the (n,\tau)-parameters of the random strategies. We use our approach to analyse the results from prediction of M \geq 8.0 events by the M8 method for the period 1985-2009 (the M8.0+ test). The model of \lambda (dg) based on the events Mw \geq 5.5 , 1977-2004, and the magnitude range of target events 8.0 \leq M \le 8.5 are considered as basic to this M8 analysis. We find the point and upper estimates of \alpha and show that they are still unstable because the number of target events in the experiment is small. However, our results argue in favour of non-triviality of the M8 prediction algorithm.