Publication Date
2021
Document Type
Dissertation/Thesis
First Advisor
Polansky, Alan M.
Degree Name
M.S. (Master of Science)
Legacy Department
Department of Statistics and Actuarial Science
Abstract
The continued adoption and escalation of commercial surface extraction techniques threatens to contaminate adjacent river networks across the coal mining landscape. We look to simulate the movement of this pollution across connected graph structures using stochastic block model methodologies, fueled from work and theory derived from exponential random graph models. We begin our study by applying our virtual experiment to the motivating material, later offering an exhaustive walk through of the simulation itself. Afterwards, we present our findings and their implications to water pollution analysis, emphasizing a need for this research and expanding on some inferential statistics left for later discussion.
Recommended Citation
Wold, Alexander Thor, "Stochastic infection in Network Models with Applications to Pollution Analysis" (2021). Graduate Research Theses & Dissertations. 7786.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/7786
Extent
72 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text
