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  • 标题:Analyzing the Annual Maximum Magnitude of Earthquakes in Japan by Extreme Value Theory
  • 本地全文:下载
  • 作者:Fumio Maruyama
  • 期刊名称:Open Journal of Applied Sciences
  • 印刷版ISSN:2165-3917
  • 电子版ISSN:2165-3925
  • 出版年度:2020
  • 卷号:10
  • 期号:12
  • 页码:817-824
  • DOI:10.4236/ojapps.2020.1012057
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:One of the most important and interesting issues associated with the earthquakes is the long-term trend of the extreme events. Extreme value theory provides methods for analysis of the most extreme parts of data. We estimated the annual maximum magnitude of earthquakes in Japan by extreme value theory using earthquake data between 1900 and 2019. Generalized extreme value (GEV) distribution was applied to fit the extreme indices. The distribution was used to estimate the probability of extreme values in specified time periods. The various diagnostic plots for assessing the accuracy of the GEV model fitted to the magnitude of maximum earthquakes data in Japan gave the validity of the GEV model. The extreme value index, ξ was evaluated as −0.163, with a 95% confidence interval of [−0.260, −0.0174
  • 关键词:Extreme Value Theory;Generalized Extreme Value Distribution;Earthquakes
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