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Development of a Prediction Model for the NCAA Division-I Football Championship Subdivision
(North Dakota State University, 2013)
This thesis investigates which in-game team statistics are most significant in determining the outcome in a NCAA Division-I Football Championship Subdivision (FCS) game. The data was analyzed using logistic and ordinary ...
An Analysis of Factors Contributing to Wins in the National Hockey League
(North Dakota State University, 2013)
This thesis looks at common factors that have the largest impact on winning games in the NHL. Data was collected from regular season games for all teams in the NHL over seven seasons. Logistic and least squares regressions ...
Comparing Dunnett's Test with the False Discovery Rate Method: A Simulation Study
(North Dakota State University, 2013)
Recently, the idea of multiple comparisons has been criticized because of its lack of power in datasets with a large number of treatments. Many family-wise error corrections are far too restrictive when large quantities ...
Examining Influential Factors and Predicting Outcomes in European Soccer Games
(North Dakota State University, 2013)
Models are developed using least squares regression and logistic regression to predict outcomes of European soccer games based on four variables related to the past k games of each team playing with the following values ...
Predicting Recessions in the U.S. with Yield Curve Spread
(North Dakota State University, 2013)
This paper proposes a hidden Markov model for the signal of U.S. recessions. The model uses the spread of interest rate between 10-year Treasury bond and 3-month Treasury bill, together with other financial indicators which ...
Analysis of Significant Factors in Division I Men's College Basketball and Development of a Predictive Model
(North Dakota State University, 2013)
While a number of statistics are collected during an NCAA Division I men’s college
basketball game, it is potentially of interest to universities, coaches, players, and fans which of
these variables are most significant ...