Abstract:
Statistical analysis is applied to study temporal pattern of earthquake distribution in aftershock sequence of the 2012 Mw=5.6 Pernik earthquake. On the assumption that aftershocks are distributed in time as a non-stationary Poisson process the maximum likelihood method for estimating the parameters (K, c and p) of the modified Omori formula is used. A transformation from the time scale t to a frequency-linearized time scale τ is applied for testing the goodness of fit between the aftershock occurrence and different statistical models. It is found that the temporal distribution of the Pernik earthquake aftershocks is dominated by the classic power law decay in time.