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On the statistics of the linked stress release model

Part of: Geophysics (general) Geophysics Inference from stochastic processes Probabilistic methods, simulation and stochastic differential equations Stochastic processes

Published online by Cambridge University Press:  14 July 2016

Mark Bebbington  and
David S. Harte
Mark Bebbington*
Affiliation:
Massey University
David S. Harte*
Affiliation:
Statistics Research Associates Ltd
*
1Postal address: Institute of Information Sciences and Technology, Massey University, Private Bag 11222, Palmerston North, New Zealand. Email: m.bebbington@massey.ac.nz
2Postal address: Statistics Research Associates, PO Box 12 649, Thorndon, Wellington, New Zealand. Email: david@statsresearch.co.nz
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Abstract

The paper reviews the formulation of the linked stress release model for large scale seismicity together with aspects of its application. Using data from Taiwan for illustrative purposes, models can be selected and verified using tools that include Akaike's information criterion (AIC), numerical analysis, residual point processes and Monte Carlo simulation.

Keywords

Point processesresidual analysisAICnumerical fittingMonte Carlo simulation

MSC classification

Primary: 60G55: Point processes
Secondary: 86A15: Seismology 62M05: Markov processes 65C05: Monte Carlo methods
Type
Models and statistics in seismology
Information
Journal of Applied Probability , Volume 38 , Issue A: Probability, Statistics and Seismology , 2001 , pp. 176 - 187
Copyright
Copyright © Applied Probability Trust 2001 

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