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Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach pp 105–136Cite as

Statistical Models for Earthquake Occurrence: Clusters, Cycles and Characteristic Earthquakes

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Abstract

This paper reviews different approaches to modelling two key but opposing features of earthquake data, their tendency towards clustering and their tendency towards regular or periodic behaviour.

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Authors and Affiliations

  1. Institute of Statistics and Operations Research, Victoria University of Wellington, PO Box 600, Wellington, New Zealand

    D. Vere-Jones

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  1. D. Vere-Jones
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Editors and Affiliations

  1. Department of Statistics, The University of Tennessee, Knoxville, TN, USA

    H. Bozdogan

  2. Information & Decision Sciences, University of Illinois at Chicago, Chicago, IL, USA

    S. L. Sclove

  3. Department of Mathematics & Statistics, Bowling Green State University, Bowling Green, OH, USA

    A. K. Gupta

  4. Department of Mathematical Sciences, Bentley College, Waltham, MA, USA

    D. Haughton

  5. The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-Ku, Tokyo, Japan

    G. Kitagawa , T. Ozaki  & K. Tanabe ,  & 

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Vere-Jones, D. (1994). Statistical Models for Earthquake Occurrence: Clusters, Cycles and Characteristic Earthquakes. In: Bozdogan, H., et al. Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0854-6_6

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  • DOI: https://doi.org/10.1007/978-94-011-0854-6_6

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