Matching Items (5)
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- All Subjects: Baseball
- All Subjects: IMT
- Creators: Industrial, Systems
Description
Social media is used by people every day to discuss the nuances of their lives. Major League Baseball (MLB) is a popular sport in the United States, and as such has generated a great deal of activity on Twitter. As fantasy baseball continues to grow in popularity, so does the research into better algorithms for picking players. Most of the research done in this area focuses on improving the prediction of a player's individual performance. However, the crowd-sourcing power afforded by social media may enable more informed predictions about players' performances. Players are chosen by popularity and personal preferences by most amateur gamblers. While some of these trends (particularly the long-term ones) are captured by ranking systems, this research was focused on predicting the daily spikes in popularity (and therefore price or draft order) by comparing the number of mentions that the player received on Twitter compared to their previous mentions. In doing so, it was demonstrated that improved fantasy baseball predictions can be made through leveraging social media data.
ContributorsRuskin, Lewis John (Author) / Liu, Huan (Thesis director) / Montgomery, Douglas (Committee member) / Morstatter, Fred (Committee member) / Industrial, Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The current Enterprise Requirements and Acquisition Model (ERAM), a discrete event simulation of the major tasks and decisions within the DoD acquisition system, identifies several what-if intervention strategies to improve program completion time. However, processes that contribute to the program acquisition completion time were not explicitly identified in the simulation study. This research seeks to determine the acquisition processes that contribute significantly to total simulated program time in the acquisition system for all programs reaching Milestone C. Specifically, this research examines the effect of increased scope management, technology maturity, and decreased variation and mean process times in post-Design Readiness Review contractor activities by performing additional simulation analyses. Potential policies are formulated from the results to further improve program acquisition completion time.
ContributorsWorger, Danielle Marie (Author) / Wu, Teresa (Thesis director) / Shunk, Dan (Committee member) / Wirthlin, J. Robert (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
Description
Abstract The purpose of this project is to utilize the models and concepts from Information Measurement Theory (IMT) to help minimize future decision making with respect to my career path. When I began this project, my future was clouded, my initial conditions were unknown, my stress over future career-path decisions was high, and I had eight possible career paths in mind. I have narrowed my career-path options from eight to four. In addition, I have determined a one-year plan that enables me to be prepared to pursue any of the four career paths that I have found align with me. In this project, I explored my dominant initial conditions with respect to my career path. I tracked the job history of my grandparents and parents. These efforts allowed me to identify the strengths and weaknesses that I was exhibiting by the age of three. Natural law dictates that the strengths and weaknesses of my younger self will be the same strengths and weakness that I excel at and struggle with today. I then used my understanding of natural law and the event model process to map the strengths and weaknesses of my parents and grandparents and to compare and contrast these to my strengths and weaknesses, including those that were apparent by the time that I was three years old. Focusing in on what I really want from a job, four main goals were established to grade the various future career-path options. Finally, I documented my transition from uncertainty to clarity. It began with my sobriety and ended with a milestone one-year plan that will give me information that I need to commit to my career path. This transition has had significant impact. The elusive "who am I" has been addressed, not completely but addressed sufficiently so that the question no longer plagues me. I know from where I have come. I have gained significant insight from those around me who know me. All of this has been documented for my own personal use, and for my children someday. This process permitted me to eliminate outliers from my eight original career paths, reducing them to four. In addition, application of IMT models and concepts has allowed me to see one year into the future. With my new-found knowledge, I will listen and watch the doors close on three of the remaining four career paths, as there is only one path I am meant to take.
ContributorsRichardson, Trevor Woods (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / Del E. Webb Construction (Contributor)
Created2014-05
Description
The widespread use of statistical analysis in sports-particularly Baseball- has made it increasingly necessary for small and mid-market teams to find ways to maintain their analytical advantages over large market clubs. In baseball, an opportunity for exists for teams with limited financial resources to sign players under team control to long-term contracts before other teams can bid for their services in free agency. If small and mid-market clubs can successfully identify talented players early, clubs can save money, achieve cost certainty and remain competitive for longer periods of time. These deals are also advantageous to players since they receive job security and greater financial dividends earlier in their career. The objective of this paper is to develop a regression-based predictive model that teams can use to forecast the performance of young baseball players with limited Major League experience. There were several tasks conducted to achieve this goal: (1) Data was obtained from Major League Baseball and Lahman's Baseball Database and sorted using Excel macros for easier analysis. (2) Players were separated into three positional groups depending on similar fielding requirements and offensive profiles: Group I was comprised of first and third basemen, Group II contains second basemen, shortstops, and center fielders and Group III contains left and right fielders. (3) Based on the context of baseball and the nature of offensive performance metrics, only players who achieve greater than 200 plate appearances within the first two years of their major league debut are included in this analysis. (4) The statistical software package JMP was used to create regression models of each group and analyze the residuals for any irregularities or normality violations. Once the models were developed, slight adjustments were made to improve the accuracy of the forecasts and identify opportunities for future work. It was discovered that Group I and Group III were the easiest player groupings to forecast while Group II required several attempts to improve the model.
ContributorsJack, Nathan Scott (Author) / Shunk, Dan (Thesis director) / Montgomery, Douglas (Committee member) / Borror, Connie (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
Description
The deductive logic and leadership techniques presented in Dr. Dean Kashiwagi's Information Measurement Theory (IMT) and the Kashiwagi Solution Model (KSM) provide the tools to implement positive change within one's life and environment. By altering the way that I perceive the world, I have made progress in self-improvement through action. This project utilizes self-evaluation as a method to learn from dominant information and experience. In establishing that natural laws govern the world, there is no randomness; events and decisions are all cause-and-effect. When seen through this lens, life becomes simpler and manageable. Through my own implementation of IMT and KSM, I live a more productive lifestyle and feel that I have a meaningful plan for my future.
ContributorsRoot, Shawn Michael (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05