Facing Missing Observations in Data—A New Approach for Estimating Strength of Earthquakes on the Pacific Coast of Southern Mexico Using Random Censoring

Facing Missing Observations in Data—A New Approach for Estimating Strength of Earthquakes on the Pacific Coast of Southern Mexico Using Random Censoring

We introduced a novel spatial model based on the distribution of generalized extreme values (GEV) to analyze the maximum intensity levels of earthquakes with incomplete data (randomly censored) on the Pacific coast of southern Mexico using a random censorship approach. Spatiotemporal trends were mod...

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Bibliographic Details
Main Authors: Alejandro Ivan Aguirre-Salado, Humberto Vaquera-Huerta, Carlos Arturo Aguirre-Salado, José del Carmen Jiménez-Hernández, Franco Barragán, María Guzmán-Martínez
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
bayesian modeling
extreme value theory
random censoring
nonstationary
earthquake
Mexico
Online Access:https://www.mdpi.com/2076-3417/9/14/2863

Internet

https://www.mdpi.com/2076-3417/9/14/2863

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