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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
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
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
AARP estimates that 90% of seniors wish to remain in their homes during retirement. Seniors need assistance as they age, historically they have received assistance from either family members, nursing homes, or Continuing Care Retirement Communities. For seniors not wanting any of these options, there has been very few alternatives. Now, the emergence of the continuing care at home program is providing hope for a different method of elder care moving forward. CCaH programs offer services such as: skilled nursing care, care coordination, emergency response systems, aid with personal and health care, and transportation. Such services allow seniors to continue to live in their own home with assistance as their health deteriorates over time. Currently, only 30 CCaH programs exist. With the growth of the elderly population in the coming years, this model seems poised for growth.
ContributorsSturm, Brendan (Author) / Milovanovic, Jelena (Thesis director) / Hassett, Matthew (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This study seeks to understand what design factors best aid in the elicitation of behaviors, specifically disclosure behaviors, from one party to another with the intent to provide some form of service. I looked at the medical industry to see how to create the best possible quality of care all while ensuring that the patient information is collected accurately and quickly. With healthcare in the United States becoming increasingly expensive along with the multitude of people seeking attention, the time that physicians have is scare. This scarcity can affect the type and quality of care that a patient would receive. Therefore, creating an online form to gather patient data would reduce time so long as the information was collected via a trusted method and patients were honest in their disclosure. The quality of the face-to-face time in a physician’s office would increase with increased honesty from patients, as the physician would be able to properly prepare for the appointment. This study examines whether screen lighting and typeface could influence a patient's disclosure of problem behaviors, such as smoking or drinking, the patient's rating of the importance of honesty, and the patient's perceptions of privacy and confidentiality during the disclosure. The results showed that Sans Serif [Arial] typeface was more effective in eliciting problem behavior disclosure. Perceptions and disclosure in relation to background color did not yield overwhelming results either way.
ContributorsScheetz, Taylor Renee (Author) / Eaton, Kate (Thesis director) / Eaton, John (Committee member) / Department of Marketing (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Catastrophe events occur rather infrequently, but upon their occurrence, can lead to colossal losses for insurance companies. Due to their size and volatility, catastrophe losses are often treated separately from other insurance losses. In fact, many property and casualty insurance companies feature a department or team which focuses solely on modeling catastrophes. Setting reserves for catastrophe losses is difficult due to their unpredictable and often long-tailed nature. Determining loss development factors (LDFs) to estimate the ultimate loss amounts for catastrophe events is one method for setting reserves. In an attempt to aid Company XYZ set more accurate reserves, the research conducted focuses on estimating LDFs for catastrophes which have already occurred and have been settled. Furthermore, the research describes the process used to build a linear model in R to estimate LDFs for Company XYZ's closed catastrophe claims from 2001 \u2014 2016. This linear model was used to predict a catastrophe's LDFs based on the age in weeks of the catastrophe during the first year. Back testing was also performed, as was the comparison between the estimated ultimate losses and actual losses. Future research consideration was proposed.
ContributorsSwoverland, Robert Bo (Author) / Milovanovic, Jelena (Thesis director) / Zicarelli, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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
Billions of people around the world deal with the struggles of poverty every day. Consequently, a number of others have committed themselves to help alleviate poverty. Many various methods are used, and a current consensus on the best method to alleviate poverty is lacking. Generally the methods used or researched exist somewhere on the spectrum between top-down and bottom-up approaches to fighting poverty. This paper analyzes a specific method proposed by C.K. Prahalad known as the Bottom of the Pyramid solution. The premise of the method is that large multinational corporations should utilize the large conglomerate of money that exists amongst poor people \u2014 created due to the sheer number of poor people \u2014 for business ventures. Concurrently, the poor people can benefit from the company's entrance. This method has received acclaim theoretically, but still needs empirical evidence to prove its practicality. This paper compares this approach with other approaches, considers international development data trends, and analyzes case studies of actual attempts that provide insight into the approach's potential for success. The market of poor people at the bottom of the pyramid is extremely segmented which makes it very difficult for large companies to financially prosper. It is even harder to establish mutual benefit between the large corporation and the poor. It has been found that although aspects of the bottom of the pyramid method hold merit, higher potential for alleviating poverty exists when small companies venture into this space rather than large multinational corporations. Small companies can conform to a single community and niche economy to prosper \u2014 a flexibility that large companies lack. Moving forward, analyzing the actual attempts provides the best and only empirical insights; hence, it will be important to consider more approaches into developing economies as they materialize.
ContributorsSanchez, Derek Javier (Author) / Henderson, Mark (Thesis director) / Shunk, Dan (Committee member) / Industrial, Systems (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The purpose of this thesis is to analyze the impacts of virtue signaling and tokenism within the cosmetic industry and how it relates to corporate social responsibility. Secondary research has been gathered and analyzed to find insight into how these aspects in marketing can impact the profits and other measures of success within business. This will lead to an understanding of how corporate social responsibility can be beneficial to the cosmetic industry, especially as companies grow and expand their target market. This thesis research is based on secondary research built from articles and advertisements. Additionally, research will be pulled from company statistics in profits and sales to determine success in different product launches and the marketing tactics utilized. After analyzing these differences and the types of advertisements that lead to the most successful results, it can be determined that virtue signaling and racial/ethnic tokenism can hinder success potential and thus, in contrast, companies that adhere to the ethical implications within corporate social responsibility will benefit from a reputation of sincerity.
ContributorsJohnson, Nicole (Author) / Hale, Allison (Co-author) / Voustas, Konstandinos (Thesis director) / Riker, Elise (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
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