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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
The following creative project was a two part study regarding the wedding and event planning industry. Part one consisted of planning and executing an event followed by an analysis of the event in terms of strengths, weaknesses, and customer feedback. Part two consisted of evaluating a potential wedding planning company by the standards of the Business Model Canvas Method. The overall goal of this project was to determine if I would be pursuing a career as an independent wedding and event consultant or exploring other career options based on the research conducted and which option would be best aligned with my desires and career aspirations.
ContributorsHawbaker, Christina Elizabeth (Author) / Peck, Sidnee (Thesis director) / LePine, Marcie (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Department of Management (Contributor)
Created2013-12
Description
The Barrett, the Honors College Internships and Research Department provides information regarding internship and research position availabilities, generates greater exposure to various companies and organizations seeking student help, and offers students assistance in applying for employment. The office's current objectives are to increase student engagement and escalate student success in internship and research involvement. The application of marketing resources requires evaluation and improvement in order to increase attendance at the events held by the office each semester, which have consistently received disappointing turnouts. This study examines the marketing communication channels currently used in order to productively correlate these channels with event attendance.
ContributorsVillemez, Hallie Katherine (Author) / Eaton, John (Thesis director) / Olsen, Doug (Committee member) / Russo, Lianne (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / Department of Marketing (Contributor)
Created2013-12
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
Arizona State University students are currently out of the loop when it comes to hearing about events being held in their community. This is because there is no established service that provides an inclusive list of both on and near campus events. What's worse is that the current methods for event marketing rely heavily on who one knows. Currently, ASU students hear about events through word of mouth, email chains, Facebook pages, and posters around campus. Thankfully, there is now an event marketing method that is available to everyone. UniEvents is a newly developed event service that live-tracks events around ASU's Tempe campus. UniEvents consists of a webpage that accommodates all screen sizes and is accessible by all devices including smartphones, tablets, and desktop computers. The website offers a user-friendly interface and useful features. Students are able to scan through event listings on a calendar or they can use an interactive map to find events nearest to them. Furthermore, UniEvents also offers the option for users to submit events to be advertised through the service. This way, students and organizations can easily spread the word about events on campus. Through UniEvents, ASU students will finally be able to see a conclusive list of upcoming events in one convenient site. Students will be able to save time and hassle by not having to rely on numerous sources to learn about events. UniEvents is committed to help students learn about events and get involved in campus activities!
ContributorsDeegan, Taylor (Co-author) / Nguyen, Lilian (Co-author) / Ostrom, Lonnie (Thesis director) / Schlacter, John (Committee member) / Harrington Bioengineering Program (Contributor) / Economics Program in CLAS (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
League of Legends is a Multiplayer Online Battle Arena (MOBA) game. MOBA games are generally formatted where two teams of five, each player controlling a character (champion), will try to take each other's base as quickly as possible. Currently, with about 70 million, League of Legends is number one in the digital entertainment industry with $1.63 billion dollars of revenue in year 2015. This research analysis scopes in on the niche of the "Jungler" role between different tiers of player in League of Legends. I uncovered differences in player strategy that may explain the achievement of high rank using data aggregation through Riot Games' API, data slicing with time-sensitive data, random sampling, clustering by tiers, graphical techniques to display the cluster, distribution analysis and finally, a comprehensive factor analysis on the data's implications.
ContributorsPoon, Alex (Author) / Clark, Joseph (Thesis director) / Simon, Alan (Committee member) / Department of Information Systems (Contributor) / Department of Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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