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Defense Date
2006
Document Type
Thesis
Degree Name
Master of Science
Department
Statistics
First Advisor
Dr. Jason R. W. Merrick
Abstract
The article offers a dynamic approach for predicting the outcomes of NFL games using the NFL games from 2002-2005. A logistic regression model is used to predict the probability that one team defeats another. The parameters of this model are the strengths of the teams and a home field advantage factor. Since it assumed that a team's strength is time dependent, the strength parameters were assigned a seasonal time series process. The best model was selected using all the data from 2002 through the first seven weeks of 2005. The last weeks of 2005 were used for prediction estimates.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
June 2008
VCU Only:
Off Campus Download
Comments
Part of Retrospective ETD Collection, restricted to VCU only.