In this work we propose a statistical approach, based on the joint analysis of macroseismic data of Italian seismic events of the last two centuries, with which we obtain simultaneously maximum likelihood estimates of attenuation laws and coordinates of hypocenters. Our first results encourage us to use in the future more complex models, with a larger number of historical earthquakes.

Marcello chiodi, antonino d'alessandro, giada adelfio, nicoletta d'angelo (2020). Statistical Analysis of Macroseismic Data for a better Evaluation of Earthquakes Attenuation Laws. In Book of short papers - SIS 2020 (pp. 124-129). Pearson.

Statistical Analysis of Macroseismic Data for a better Evaluation of Earthquakes Attenuation Laws

Marcello chiodi
;
antonino d'alessandro;giada adelfio;nicoletta d'angelo
2020

Abstract

In this work we propose a statistical approach, based on the joint analysis of macroseismic data of Italian seismic events of the last two centuries, with which we obtain simultaneously maximum likelihood estimates of attenuation laws and coordinates of hypocenters. Our first results encourage us to use in the future more complex models, with a larger number of historical earthquakes.
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Marcello chiodi, antonino d'alessandro, giada adelfio, nicoletta d'angelo (2020). Statistical Analysis of Macroseismic Data for a better Evaluation of Earthquakes Attenuation Laws. In Book of short papers - SIS 2020 (pp. 124-129). Pearson.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/437842
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