Earthquake, Poisson and Weibull distributions

Min Hao Wu; J. P. Wang; Kai Wen Ku

doi:10.1016/j.physa.2019.04.237

Earthquake, Poisson and Weibull distributions

Min Hao Wu, J. P. Wang, Kai Wen Ku

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

8 引文斯高帕斯（Scopus）

摘要

This paper presents statistical goodness-of-fit tests on worldwide seismicity data from 1980 to 2015. The tests show that earthquake temporal occurrences do not necessarily follow the Poisson distribution as it has been commonly applied to earthquake studies. On the other hand, the Weibull distribution was found a satisfactory model in capturing the observed earthquake magnitude distributions with statistical significance, which can be applied to earthquake analyses that require earthquake magnitude distributions as input.

原文	???core.languages.en_GB???
文章編號	121001
期刊	Physica A: Statistical Mechanics and its Applications
卷	526
DOIs	https://doi.org/10.1016/j.physa.2019.04.237
出版狀態	已出版 - 15 7月 2019

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10.1016/j.physa.2019.04.237

利用coupla統計理論進行地震預警系統優化之研究(2/2)
Wang, J. P. (PI)
1/11/18 → 31/10/19
研究計畫: Research

引用此

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AB - This paper presents statistical goodness-of-fit tests on worldwide seismicity data from 1980 to 2015. The tests show that earthquake temporal occurrences do not necessarily follow the Poisson distribution as it has been commonly applied to earthquake studies. On the other hand, the Weibull distribution was found a satisfactory model in capturing the observed earthquake magnitude distributions with statistical significance, which can be applied to earthquake analyses that require earthquake magnitude distributions as input.

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Earthquake, Poisson and Weibull distributions

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利用coupla統計理論進行地震預警系統優化之研究(2/2)

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