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Description:: Now more than ever, forecasting the outcomes of U.S. elections is an important and challenging task. Traditionally, statistical or political-science methods have been employed to better understand how individuals will vote. Our approach differs in that we use mathematical modeling. Adapting methods commonly used in epidemiology to understand biological disease...
Keyword:: Elections, forecast, mathematical modeling, data science, forecasting, and political science
Creator:: Emily Mansell and William He
Owner:: Chris Diaz
Date Uploaded:: 06/24/2021
Date Modified:: 07/08/2021

Description:: A series of theories and models are developed and used to investigate the growth of protective oxide films on metal and alloy surfaces for cases in which Wagner's classical model of oxidation does not hold. First, irreversible thermodynamics is applied to formulate a model for the outward growth of rocksalt...
Keyword:: corrosion, mathematical modeling, irreversible thermodynamics, and high temperature oxidation
Subject:: Materials Science and Applied mathematics
Creator:: Ramanathan, Rohit
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_757043 and http://dissertations.umi.com/northwestern:15201

Description:: Forecasting the outcomes of U.S. elections is a relevant and complex task that has been approached in many ways, most commonly incorporating statistics or proprietary methods that include some degree of subjectivity. Our approach differs from this convention in that we use multidisciplinary methods from applied mathematics. Specifically, we use...
Keyword:: forecast, US elections, mathematical model, elections, and mathematical modeling
Subject:: Applied mathematics
Creator:: William He and Christopher Lee
Owner:: Scholarly Digital Publishing
Date Uploaded:: 06/08/2020
Date Modified:: 07/23/2020
Date Created:: 2020
Resource Type:: Conference Proceeding

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