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

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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.

Original language	English
Article number	121001
Journal	Physica A: Statistical Mechanics and its Applications
Volume	526
DOIs	https://doi.org/10.1016/j.physa.2019.04.237
State	Published - 15 Jul 2019

Keywords

Earthquake
Poisson distribution
Statistical tests
Weibull distribution

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10.1016/j.physa.2019.04.237

Optimizing On-Site Earthquake Early Warning: Copula Approach(2/2)
Wang, J. P. (PI)
1/11/18 → 31/10/19
Project: Research

Cite this

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abstract = "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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N2 - 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.

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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KW - Poisson distribution

KW - Statistical tests

KW - Weibull distribution

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JO - Physica A: Statistical Mechanics and its Applications

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Earthquake, Poisson and Weibull distributions

Abstract

Keywords

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Optimizing On-Site Earthquake Early Warning: Copula Approach(2/2)

Cite this