Statistical models for temporal variations of seismicity parameters to forecast seismicity rates in Japan

Earth, Planets and Space

Volumn 63, Issue 3, 2011, Pages 231-238

  Smyth, Christine ^a   Mori, Jim ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

Autoregressive models; Forecast; Normal mixture models

Indexed keywords

EARTHQUAKE MAGNITUDE; EARTHQUAKE PRECURSOR; FORECASTING METHOD; SEISMICITY; STATISTICAL ANALYSIS; TEMPORAL VARIATION;

JAPAN;

EID: 79953884144     PISSN: 13438832     EISSN: 18805981     Source Type: Journal    
DOI: 10.5047/eps.2010.10.001     Document Type: Article

References (15)

1. Akaike, H., New look at statistical-model identification, IEEE Trans. Automatic Control, 19, 716-723, 1974.
2. Chatfield, C., The Analysis of Time Series, Chapman and Hall, Florida, 2004.
3. Dempster, A. P., N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via EM algorithm, J. Roy. Stat. Soc. B. Stat. Meth., 1, 1-38, 1977.
4. Everitt, B. S., Cluster Analysis, Edward Arnold, London, 1993.
5. Fawcett, T., An introduction to ROC analysis, Pattern Recognit. Lett., 27, 861-874, 2006.
6. Guo, Z. and Y. Ogata, Statistical relations between the parameters of aftershocks in time, space and magnitude, J. Geophys. Res., 102, 2857-2873, 1997.
7. Gutenberg, B. and C. F. Richter, Frequency of earthquakes in California, Bull. Seismol. Soc. Am., 34, 185-188, 1944.
8. McLachlan, G. and S. Ng, The EM algorithm, in The Top-Ten Algorithms in Data Mining, edited by X. Wu and V. Kumar, 93-115 pp, Chapman and Hall/CRC, Boca Raton, Florida, 2009.
9. Murru, M., R. Console, and G. Falcone, Real time earthquake forecasting in Italy, Tectonophysics, 470, 214-223, 2009.
10. Petersen, M. D., T. Q. Cao, K. W. Campbell, and A. D. Frankel, Timeindependent and time-dependent seismic hazard assessment for the State of California: Uniform California earthquake rupture forecast model 1.0, Seismol. Res. Lett., 78, 99-109, 2007.
11. Research group "Earthquake Forecast System based on Seismicity of Japan" (K. Z. Nanjo, N. Hirata, H. Tsuruoka are responsible for the wording of the article), Earthquake forecast testing experiment for Japan, Newslett. Seismol. Soc Jpn., 20, 7-10, 2009 (in Japanese).
12. Schorlemmer, D., S. Wiemer, and M. Wyss, Earthquake statistics at Parkfield: 1. Stationarity of b values, J. Geophys. Res., 109, 2004.
13. Smyth, C. and J. Mori, Assessing temporal variations in the GutenbergRichter distribution for a short-term forecast model, Japan Geoscience Union Meeting, Chiba, Japan, 2009.
14. Stein, S. and M. Wysession, An Introduction to Seismology, Earthquakes, and Earth Structure, Blackwell, Maiden, 2003.
15. Wiemer, S. and M. Wyss, Mapping spatial variability of the frequency-magnitude distribution of earthquakes, Adv. Geophys., 45, 259-301, 2002.