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- W1567698069 abstract "Two hypotheses were examined concerning the random nature of aftershock sequences: 'independence' and 'clustering.' Clustering obtains when individual aftershocks tend to develop smaller aftershock sequences of their own. Four aftershock sequences and an artificially generated Poisson control sequence were tested for clustering by the Neyman-Scott method, using an exponential cluster model with Poisson distribution of centers. An expression for the quasi-correlation coefficients Qκ for this model was derived. When the decay trend of aftershock sequences was removed (by means of logarithmic transformation of the time scale) it was found that both the Kern County, 1952, and the Alaska, 1964, aftershock sequences were uncorrelated. The San Francisco, 1957, sequence contained many small shocks in the magnitude range 1.6–2.5; removal of these shocks yielded a sequence of uncorrelated events." @default.
- W1567698069 created "2016-06-24" @default.
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- W1567698069 date "2013-04-03" @default.
- W1567698069 modified "2023-10-18" @default.
- W1567698069 title "Clustering in Aftershock Sequences" @default.
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- W1567698069 doi "https://doi.org/10.1029/gm010p0502" @default.
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