Award Date

1-1-2006

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematical Sciences

First Committee Member

Chih-Hsiang Ho

Number of Pages

39

Abstract

An interesting extension of advanced time-series analysis techniques is introduced into the domain of volcanological data exploration. A new and innovative use of the well-known ARIMA method for modeling the recurrence rate of volcanism ranging from simple Poissonian volcanoes to those showing cyclic trends is presented. Specifically, we propose a new tool to fingerprint the eruptive behavior of a volcano, which also links some modeling tools of two of the most developed areas in the literature of statistics: stochastic processes and time series. Valuable modeling and computing insights are discussed using a data set from the volcanic database at Yucca Mountain, Nevada, a potential site for an underground geologic repository of high-level radioactive waste in the USA.

Keywords

Approach; Area; Arima; Based; Disruption; Hazard; High; Level; Model; Mountain; Nevada; Probability; Proposed; Radioactive; Repository; Volcanic; Waste; Yucca

Controlled Subject

Mathematics

File Format

pdf

File Size

942.08 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

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Identifier

https://doi.org/10.25669/xxvo-kns2


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