11. A Qualitative Approach to Predicting the Success of NFL Draftees Open Access Author: Insley, Drew Title: A Qualitative Approach to Predicting the Success of NFL Draftees Area of Honors: Statistics Keywords: NFLSports AnalyticsStatisticsMachine Learning File: Download Insley_Thesis.pdf Thesis Supervisors: Andrew John Wiesner, Thesis SupervisorMatthew D Beckman, Thesis Honors Advisor
12. Optimizing Roster Composition in Major League Baseball Open Access Author: Kroboth, Kyle Title: Optimizing Roster Composition in Major League Baseball Area of Honors: Statistics Keywords: sportsanalyticsbaseballmarket sizeregressionstatisticslinear File: Download Honors_Thesis_-_Roster_Composition_-_KK.pdf Thesis Supervisors: Andrew John Wiesner, Thesis SupervisorMatthew D Beckman, Thesis Honors Advisor
13. Predicting the Outcome of the Final Sixteen Teams in College Basketball Using Time Series Analysis and Markov Chains Open Access Author: Miller, Christopher Title: Predicting the Outcome of the Final Sixteen Teams in College Basketball Using Time Series Analysis and Markov Chains Area of Honors: Statistics Keywords: StatisticsCollege BasketballTime-Series File: Download Miller_Christopher_PredicitingMarchMadnessTimeSeries.pdf Thesis Supervisors: Andrew John Wiesner, Thesis SupervisorDavid Hunter, Thesis Honors Advisor
14. Using Stokes Gained on the PGA Tour to Analyze U.S. Ryder Cup Performance Open Access Author: Gerity, William Title: Using Stokes Gained on the PGA Tour to Analyze U.S. Ryder Cup Performance Area of Honors: Actuarial Science Keywords: GolfStatisticsRyder CupPGA TourActuarial ScienceStrokes Gained File: Download Gerity_William_Thesis_Final.pdf Thesis Supervisors: Andrew John Wiesner, Thesis SupervisorAmanda W Hammell, Thesis Honors Advisor
15. Projecting MLB Pitcher Performance with Pitch Grades Open Access Author: Zerbe, Malcolm Title: Projecting MLB Pitcher Performance with Pitch Grades Area of Honors: Statistics Keywords: BaseballMLBMachine Learning File: Download honors_thesis_mtz3.pdf Thesis Supervisors: Matt Slifko, Thesis SupervisorAndrew John Wiesner, Thesis Honors Advisor