Show simple item record

dc.contributor.advisor Mukherjee, Sayan
dc.contributor.author Robertson, Megan
dc.date.accessioned 2017-08-16T18:26:11Z
dc.date.available 2017-08-16T18:26:11Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/10161/15261
dc.description Thesis
dc.description.abstract <p>This project examines the utility of spatio-temporal tracking data from professional basketball games by fitting models predicting whether a player will make a shot. The first part of the project involved the exploration of the data, evaluated its issues, and generated features to use as co-variates in the models. The second part fit various classification models and evaluated their predictive performance. The paper concludes with a discussion of methods to improve the models and future work.</p>
dc.subject Statistics
dc.subject Sports management
dc.subject NBA
dc.subject player tracking
dc.subject statistical modeling
dc.title An Analysis of NBA Spatio-Temporal Data
dc.type Master's thesis
dc.department Statistical Science


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record