https://doi.org/10.1007/s100510051027
Rare events in a log-Weibull scenario -Application to earthquake magnitude data
1
LIMHP-CNRS, Université Paris XIII, Institut Galilée,
93430 Villetaneuse, France
2
L2TI, Université Paris XIII, Institut Galilée, 93430 Villetaneuse, France
Corresponding author: a huillet@limhp.univ-paris13.fr
Received:
15
March
1999
Revised:
20
May
1999
Published online: 15 December 1999
We discuss the pertinency of the log-Weibull model in the statistical understanding of energy release for earthquake magnitude data. This model has many interesting features, the most remarkable of which being: depending on the value of the deformation index of the source, it may present tails ranging from moderately heavy () to very heavy (with tail index zero as ), through hyperbolic (power law) for the critical value . Under this model (for which a precise tail study is supplied), the occurrence of power laws appears as a critical phenomenon: this reinforces the current trend predicting that some departure from the ideal (strictly scaling fractal) model may be ubiquitous. Having applied an affine transformation in the logarithmic scale, quantile estimation and the Kolmogorov-Smirnov statistics are used to fit the log-Weibull distribution to a realization of an iid sample. This enables to decide whether the upper tail of the phenomenon under study is light/heavy/very heavy. A comparative study of recorded French and Japanese earthquake magnitudes suggests that they exhibit comparable tail behaviour, albeit with different centrality and dispersion parameters.
PACS: 02.50.-r – Probability theory, stochastic processes, and statistics / 05.20.-y – Statistical mechanics / 89.90.+n – Other areas of general interest to physicists
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 1999