Matching Items (5)
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- All Subjects: Marketing
- All Subjects: Predictive Modeling
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
DescriptionDuring the Third Wave of Democratization, the United States has influenced many different cultures through politics and social interests. The way in which this has occurred is through their marketing and advertising. Many companies are the reason that the United States is a super power today.
ContributorsNebeker, Garrett Albert (Author) / Wilson, Jeffrey (Thesis director) / Reiser, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
Description
Predictive analytics have been used in a wide variety of settings, including healthcare,
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models
predict the likelihood of going for fourth down with a 64% or more probability based on
2015-17 data obtained from ESPN’s college football API. Offense type though important
but non-measurable was incorporated as a random effect. We found that distance to go,
play type, field position, and week of the season were key leading covariates in
predictability. On average, our model performed as much as 14% better than coaches
in 2018.
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models
predict the likelihood of going for fourth down with a 64% or more probability based on
2015-17 data obtained from ESPN’s college football API. Offense type though important
but non-measurable was incorporated as a random effect. We found that distance to go,
play type, field position, and week of the season were key leading covariates in
predictability. On average, our model performed as much as 14% better than coaches
in 2018.
ContributorsBlinkoff, Joshua Ian (Co-author) / Voeller, Michael (Co-author) / Wilson, Jeffrey (Thesis director) / Graham, Scottie (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Predictive analytics have been used in a wide variety of settings, including healthcare, sports, banking, and other disciplines. We use predictive analytics and modeling to determine the impact of certain factors that increase the probability of a successful fourth down conversion in the Power 5 conferences. The logistic regression models predict the likelihood of going for fourth down with a 64% or more probability based on 2015-17 data obtained from ESPN’s college football API. Offense type though important but non-measurable was incorporated as a random effect. We found that distance to go, play type, field position, and week of the season were key leading covariates in predictability. On average, our model performed as much as 14% better than coaches in 2018.
ContributorsVoeller, Michael Jeffrey (Co-author) / Blinkoff, Josh (Co-author) / Wilson, Jeffrey (Thesis director) / Graham, Scottie (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Several studies on cheerleading as a sport can be found in the literature; however, there is no research done on the value added to the experience at a university, to an athletic department or at a particular sport. It has been the feeling that collegiate and professional cheerleaders are not given the appropriate recognition nor credit for the amount of work they do. This contribution is sometimes in question as it depends on the school and the sports teams. The benefits are believed to vary based on the university or professional teams. This research investigated how collegiate cheerleaders and dancers add value to the university sport experience. We interviewed key personnel at the university and conference level and polled spectators at sporting events such as basketball and football. We found that the university administration and athletic personnel see the ASU Spirit Squad as value added but spectators had a totally different perspective. The university acknowledges the added value of the Spirit Squad and its necessity. Spectators attend ASU sporting events to support the university and for the entertainment. They enjoy watching the ASU Spirit Squad perform but would continue to attend ASU sporting events even if cheerleaders and dancers were not there.
ContributorsThomas, Jessica Ann (Author) / Wilson, Jeffrey (Thesis director) / Garner, Deana (Committee member) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor) / School of Community Resources and Development (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.
ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05