 Interdependency amongst earthquake magnitudes in Southern CaliforniaK. Nichols, E. Trevino, N. Ikeda, D. Philo, A. Garcia and D. Bowman Journal of Applied Statistics, 2018, vol. 45, issue 4, 763-774 Abstract: Recent research has shown that for the larger earthquakes recorded ( $ M\ge 5.2 $ M≥5.2) within the global centroid moment tensor (gCMT) there is a positive correlation between the magnitudes of earthquakes and the magnitudes of their aftershocks [13]. Through a modification of model independent stochastic de-clustering [12] and a more localized catalog provided by the Southern California Earthquake Data Center (SCEDC), the methodologies of Nichols and Schoenberg can be extended to catalogs complete with a much lower minimum magnitude of completeness ( $ M\ge 2.2 $ M≥2.2). Results indicate that the positive correlation observed between larger earthquakes in the gCMT catalog and their aftershocks is also evident in the relationship between the magnitudes of earthquakes in the SCEDC data and their aftershocks. However, with the lower minimum magnitude of completeness found in the SCEDC catalog and with short periods of extreme earthquake activity evident within the data, the statistical power of the stochastic de-clustering algorithms to distinguish between mainshocks and aftershocks is diminished. Date: 2018 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:45:y:2018:i:4:p:763-774 Ordering information: This journal article can be ordered from DOI: 10.1080/02664763.2017.1313965 Access Statistics for this article Journal of Applied Statistics is currently edited by Robert Aykroyd More articles in Journal of Applied Statistics from Taylor & Francis Journals |
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