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Statistical tests for scaling in the inter-event times of earthquakes in California
Corral, Álvaro
Centre de Recerca Matemàtica
We explore in depth the validity of a recently proposed scaling law for earthquake inter-event time distributions in the case of the Southern California, using the waveform cross-correlation catalog of Shearer et al. Two statistical tests are used: on the one hand, the standard two-sample Kolmogorov-Smirnov test is in agreement with the scaling of the distributions. On the other hand, the one-sample Kolmogorov-Smirnov statistic complemented with Monte Carlo simulation of the inter-event times, as done by Clauset et al., supports the validity of the gamma distribution as a simple model of the scaling function appearing on the scaling law, for rescaled inter-event times above 0.01, except for the largest data set (magnitude greater than 2). A discussion of these results is provided.
2011
55 - Geologia. Meteorologia
Sistemes complexos
Terratrèmols
Física estadística
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/3.0/es/
15 p.
Preprint
Centre de Recerca Matemàtica
Prepublicacions del Centre de Recerca Matemàtica;1074
         

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