Modelling Earthquakes: Characterizing Magnitudes and Inter-Arrival Times

DOI10.1007/978-3-030-42196-0_2OpenAlexW3048615680MaRDI QIDQ5050403

Christophe Ley, Rosaria Simone

Publication date: 15 November 2022

Published in: Emerging Topics in Statistics and Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-42196-0_2

zbMATH Keywords

exponential distributionprobability distributiondata analysisBayesian information criterionmaximum likelihoodGutenberg-Richter lawgamma distributionWeibull distributionlognormal distributionPareto distributionpower-law modelsstatistical modellinggeneralized gamma distributiongoodness of fitseismic hazardcomposite modelsearthquake magnitudeQQ-plottapered Pareto distributioncircular-linear dataAbe-Ley modelcorner momentearthquake catalogearthquake interarrival timesearthquake seismic momentsearthquake sizePacific Ring of Fireprobability of a major shockshallow earthquakesspherical-linear data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

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Uses Software

• actuar
• gendist

Cites Work

• The singly truncated normal distribution: A non-steep exponential family
• Bayesian cylindrical data modeling using Abe-Ley mixtures
• Earthquakes economic costs through rank-size laws
• The Best Test of Exponentiality against Singly Truncated Normal Alternatives
• A Brief History of Generative Models for Power Law and Lognormal Distributions
• Modeling actuarial data with a composite lognormal-Pareto model
• Testing Whether New is Better than Used
• A Generalization of the Gamma Distribution

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