Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable Transformation

The estimation of the magnitude of completeness for a seismic catalog is the starting point for most of the seismological statistical analyses. It is important, in particular, for the estimation of the Gutenberg–Richter (GR) law parameters. This law corresponds to an exponential distribution of the...

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Main Author: Matteo Taroni
Format: Article
Language:English
Published: Seismological Society of America 2023-07-01
Series:The Seismic Record
Online Access:https://doi.org/10.1785/0320230017
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author Matteo Taroni
author_facet Matteo Taroni
author_sort Matteo Taroni
collection DOAJ
description The estimation of the magnitude of completeness for a seismic catalog is the starting point for most of the seismological statistical analyses. It is important, in particular, for the estimation of the Gutenberg–Richter (GR) law parameters. This law corresponds to an exponential distribution of the magnitudes. The recent studies have shown that the proper method to estimate the completeness is to check the exponentiality of the data. Here, we try to improve this method using a simple random variable transformation, which makes the method more robust in the case of catalogs with magnitudes coming from exponential distributions with different parameters, that is, catalogs with different b‐values of the GR law.
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spelling doaj.art-368d77d021fe45479c9102b4ee2c55a42023-11-11T11:15:18ZengSeismological Society of AmericaThe Seismic Record2694-40062023-07-013319419910.1785/032023001723017Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable TransformationMatteo Taroni0https://orcid.org/0000-0001-6999-4590Istituto Nazionale di Geofisica e Vulcanologia, Rome, ItalyThe estimation of the magnitude of completeness for a seismic catalog is the starting point for most of the seismological statistical analyses. It is important, in particular, for the estimation of the Gutenberg–Richter (GR) law parameters. This law corresponds to an exponential distribution of the magnitudes. The recent studies have shown that the proper method to estimate the completeness is to check the exponentiality of the data. Here, we try to improve this method using a simple random variable transformation, which makes the method more robust in the case of catalogs with magnitudes coming from exponential distributions with different parameters, that is, catalogs with different b‐values of the GR law.https://doi.org/10.1785/0320230017
spellingShingle Matteo Taroni
Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable Transformation
The Seismic Record
title Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable Transformation
title_full Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable Transformation
title_fullStr Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable Transformation
title_full_unstemmed Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable Transformation
title_short Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable Transformation
title_sort estimating the magnitude of completeness of earthquake catalogs using a simple random variable transformation
url https://doi.org/10.1785/0320230017
work_keys_str_mv AT matteotaroni estimatingthemagnitudeofcompletenessofearthquakecatalogsusingasimplerandomvariabletransformation