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Description
The NFL is one of largest and most influential industries in the world. In America there are few companies that have a stronger hold on the American culture and create such a phenomena from year to year. In this project aimed to develop a strategy that helps an NFL team be as successful as possible by defining which positions are most important to a team's success. Data from fifteen years of NFL games was collected and information on every player in the league was analyzed. First there needed to be a benchmark which describes a team as being average and then every player in the NFL must be compared to that average. Based on properties of linear regression using ordinary least squares this project aims to define such a model that shows each position's importance. Finally, once such a model had been established then the focus turned to the NFL draft in which the goal was to find a strategy of where each position needs to be drafted so that it is most likely to give the best payoff based on the results of the regression in part one.
ContributorsBalzer, Kevin Ryan (Author) / Goegan, Brian (Thesis director) / Dassanayake, Maduranga (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
The concentration factor edge detection method was developed to compute the locations and values of jump discontinuities in a piecewise-analytic function from its first few Fourier series coecients. The method approximates the singular support of a piecewise smooth function using an altered Fourier conjugate partial sum. The accuracy and characteristic features of the resulting jump function approximation depends on these lters, known as concentration factors. Recent research showed that that these concentration factors could be designed using aexible iterative framework, improving upon the overall accuracy and robustness of the method, especially in the case where some Fourier data are untrustworthy or altogether missing. Hypothesis testing methods were used to determine how well the original concentration factor method could locate edges using noisy Fourier data. This thesis combines the iterative design aspect of concentration factor design and hypothesis testing by presenting a new algorithm that incorporates multiple concentration factors into one statistical test, which proves more ective at determining jump discontinuities than the previous HT methods. This thesis also examines how the quantity and location of Fourier data act the accuracy of HT methods. Numerical examples are provided.
ContributorsLubold, Shane Michael (Author) / Gelb, Anne (Thesis director) / Cochran, Doug (Committee member) / Viswanathan, Aditya (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
We seek a comprehensive measurement for the economic prosperity of persons with disabilities. We survey the current literature and identify the major economic indicators used to describe the socioeconomic standing of persons with disabilities. We then develop a methodology for constructing a statistically valid composite index of these indicators, and build this index using data from the 2014 American Community Survey. Finally, we provide context for further use and development of the index and describe an example application of the index in practice.
ContributorsTheisen, Ryan (Co-author) / Helms, Tyler (Co-author) / Lewis, Paul (Thesis director) / Reiser, Mark (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Throughout modern culture and the political arena religious intolerance and misinformation runs rampant. Recent presidential elections have brought two minority religions (in the U.S.) to the forefront of national media attention and national dialogue-leading to presumptions, misunderstandings, and personal opinions that don't necessarily address the realities of the religions. Brought to the forefront by presidential candidates religions or by candidates targeting individual religions for their "connections" to terrorism, the LDS Church and Islam have become targets of religious bias and attacks. Even further attacked have been the women within these religions-who have often been deemed as objectified and oppressed as a result of their religions. This thesis examines religious text and scholarly work to take an objective examination of the religions and describes the realities of the life for the women-separating actual doctrine in the religion from what is a cultural norm and not a representation of the religion itself. By looking at women's roles and the dress code within Islam and Mormonism, this thesis compares Mormon and Muslim women and shows that they are integral parts of their religion with agency, not objectified victims of a system.
ContributorsWarren, Annie Michelle (Author) / Ali, Souad T. (Thesis director) / Daughtrey, Doe (Committee member) / Sandra Day O'Connor College of Law (Contributor) / School of Politics and Global Studies (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Muslim refugees and Muslim immigrants, and undocumented immigrants have been a prominent part of American culture and have been woven into the history of the United States. Both group's presence in the United States has elicited rhetoric from U.S citizens and U.S public officials. One may infer that the narrative of Muslim refugees and Muslim immigrants overlaps the narrative of undocumented immigrants living in the United States. Both Muslim refugees and immigrants as well as unauthorized immigrants, are criminalized in the United States, or are associated to crime by default of their faith and or their legal status. The association that Muslim refugees and Muslim immigrants, and undocumented immigrants have with crime, based on their rhetoric, has elicited a policy from the United States government as well. The United States government has responded to a presumed threat that both groups pose to U.S. citizens and the nation by means of aggressive legislation, both local and federal. In this research paper, past and present discourse on Muslim refugees and Muslim immigrants and undocumented immigrants was analyzed to determine each of the group's narrative; the mainstream media, newspapers and photographic images, was also considered to determine the narrative of both groups. Based on the discourse on Muslim refugees and Muslim immigrants and on undocumented immigrants, the media portrayal of both groups, and on the change of public policy one may assert that the narratives of both groups overlaps; as both Muslim refugees and immigrants and unauthorized immigrants are seen as a possible threat to the American people.
ContributorsGalvan, Brigitte Magdalena (Author) / Doty, Roxanne (Thesis director) / Magaña, Lisa (Committee member) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Career information for degrees in statistics and data science according to frequently asked questions and twelve major categories of interest: arts, business, education, engineering, environment, government, law, medicine, science, social science, sports, and technology.
ContributorsDerby-Lawson, Lili (Author) / Zheng, Yi (Thesis director) / Zhang, Helen (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Economics Program in CLAS (Contributor) / School of Sustainability (Contributor)
Created2023-05