期刊
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
卷 23, 期 28-29, 页码 5570-5582出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0217979209063869
关键词
Statistical seismology; scaling; goodness-of-fit tests; complex systems
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.
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