Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 12, issue 2
Articles | Volume 12, issue 2
https://doi.org/10.5194/ascmo-12-211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/ascmo-12-211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 2
25 Aug 2026
 | 25 Aug 2026

On computing the maximum likelihood estimates for the q-Pareto distribution and application to earthquakes

Fatah Benatia and Mohammed Ridha Kouider

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Short summary
The aim of this study is to develop efficient estimation methods of the maximum likelihood estimation method for the q-Pareto distribution (q-PD) parameters that are based on numerical methods to maximize the log-likelihood of the q-PD. And the q-PD parameters is a q-exponential distribution, finding applications in many fields such as:  seismology (earthquake patterns).
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