Badanie grupowania w przestrzeni parametrów tła sejsmicznego przed dużym trzęsieniem ziemi

Abstract

To asses correctly distances between events in a parameter space we replace the values of parameters with the values of their cumulative distributions. The cumulative distributions result from the kernel estimation. We apply this approach to analyze seismicity preceding $M_{W}6.5$ Kozani-Grevena (Greece) earthquake from 13.05.1995. The analysis reveals premonitory clustering of seismicity in the time-distance subspace.