Generalized Linear Model approach to the Prediction of the outcome of Mixed Martial Arts Fights

dc.contributor.advisor	Spade, David
dc.contributor.committeemember	Spade, David
dc.contributor.committeemember	Sun, Lijing
dc.contributor.committeemember	Zhu, Chao
dc.creator	Thurmond, Jackson
dc.date.accessioned	2025-10-08T18:01:41Z
dc.date.available	2025-10-08T18:01:41Z
dc.date.issued	2025-05
dc.description.abstract	Mixed martial arts is a complex combat sport that encompasses striking, grappling, and submissions. In a sport where fights can be won by finishing a fight or go to decision there is a multitude of factors that can influence the outcome of a fight. In an effort to determine which factors are statistically significant to a fight a generalized linear model approach was selected. Since mixed martial arts is a sport in which two competitors fight, and one is declared a winner, the result of a fight can be thought of a binary classification problem.
dc.identifier.uri	http://digital.library.wisc.edu/1793/89298
dc.subject	Mathematics
dc.subject	Statistics
dc.subject	Binary Classification
dc.subject	Logistic Regression
dc.title	Generalized Linear Model approach to the Prediction of the outcome of Mixed Martial Arts Fights
dc.type	thesis
thesis.degree.discipline	Mathematics
thesis.degree.grantor	University of Wisconsin-Milwaukee
thesis.degree.name	Master of Science

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