Statistical models for earthquake occurrences and residual analysis for point processes.

Author(s)
Ogata, Y.
Year
Abstract

This article discusses several classes of stochastic models for the origin times and magnitudes of earthquakes. The models are compared for a Japanses data set for the years 1885-1980 using likelihood methods. For the best model, a change of time scale is made to investigate the deviation of the data from the model. Conventional graphical methods associated with stationary Poisson processes can be used with the transformed time scale. For point processes, effective use of such residual analysis makes it possible to find features of the data set that are not captured in the model. Based on such analysis, the utility of seismic quiescence for the prediction of a major earthquake is investigated.

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Publication

Library number
940687 ST [electronic version only]
Source

Journal of the American Statistical Association, Vol. 83 (1988), No. 401 (March), p. 9-27, 55 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.