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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
In Memory of an Emily is a piece of creative nonfiction and a short film that together detail the author’s experience with mental illness in the collegiate environment. In its 45 pages, Jackman begins to detail the realities of living with depression, anxiety, and anorexia nervosa. The piece includes five sections of writing, including a preface and four portions describing freshman to senior year. Each section endeavors to explore simplistic and purposefully cliché events common in young adult/collegiate life and juxtapose the banal nature of these events with the experience of the mentally ill. Her story endeavors to explore the emotional truths of pain and suffering, revealing that beneath her tender façade lies a very different existence, one tangled in eating disorders, panic attacks, and overwhelming sadness. While maintaining a story-like quality traditional to creative non-fiction, Jackman ventures to warn with a cautionary tale of pathologizing abnormality and exploring the long lasting effects of childhood trauma. Weaving careful storytelling into an exploration of the mentally ill mind, Jackman keeps the reader both terrifyingly close and far away, whispering painful secrets and then desperately running away with the truth. She speaks frankly of all aspects of life, ranging from far more mundane events, such as break ups and college rejection letters, to complicated issues, such as the suicide of her grandfather and her admission into an eating disorder facility. The author attempts to establish a balanced rapport with the reader, recognizing the need to maintain distance and elicit emotion simultaneously. Jackman writes In Memory of an Emily as a heartbreaking but authentic tale, playing with stream of consciousness and paralyzing emotional description. She opens the door and invites the reader into her mind so as to share in the physical and emotional discomfort of the storyteller, but then promptly slams the door once inside.
ContributorsJackman, Emily Deprey (Author) / Soares, Rebecca (Thesis director) / Barca, Lisa (Committee member) / Economics Program in CLAS (Contributor) / Department of Psychology (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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