Javascript must be enabled for the correct page display

Predicting Catastrophes: an Analysis of the Earthquake Data in Groningen using Extreme Value Theory

Ali, Aras Predicting Catastrophes: an Analysis of the Earthquake Data in Groningen using Extreme Value Theory. Bachelor's Thesis, Mathematics.

[img]
Preview
Text
bMATH_2019_AliA.pdf

Download (1MB) | Preview
[img] Text
Toestemming.pdf
Restricted to Registered users only

Download (103kB)

Abstract

As a result of the gas extraction in the northern part of the Netherlands many earthquakes have occurred. We argue that in order to get a better understanding of the earthquake magnitudes intensities and their occurrence rates, modelling techniques using Extreme Value Theory are required. We present estimates and confidence intervals for the expected maximum magnitudes using various EVT based techniques. Moreover, we compare the different results we obtain and argue which is the most reliable one.

Item Type: Thesis (Bachelor's Thesis)
Supervisor:
Supervisor nameSupervisor E mail
Sterk, A.E.A.E.Sterk@rug.nl
Grzegorczyk, M.A.M.A.Grzegorczyk@rug.nl
Degree programme: Mathematics
Thesis type: Bachelor's Thesis
Date Deposited: 19 Jul 2019 12:32
Last Modified: 19 Jul 2019 12:32
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/20348

Actions (login required)

View Item View Item