Resource type
Thesis type
(Project) M.Sc.
Date created
2022-12-19
Authors/Contributors
Author: Cavan, Elijah
Abstract
All major league sports teams are interested in projecting the performance of their players into the future. The seemingly most important feature of a model to project future performance is age. On average, players tend to improve from their rookie (earliest) season in the league, until they retire from the league (due to poor performance or injuries, for example). In this project we apply Functional Principal Component Analysis (FPCA) to the careers of NHL players in order to fit individual aging curves for each player. We compare the results of three methods: ImFuncPCA, SOAP and PACE.
Document
Extent
27 pages.
Identifier
etd22294
Copyright statement
Copyright is held by the author(s).
Supervisor or Senior Supervisor
Thesis advisor: Cao, Jiguo
Thesis advisor: B., Swartz, Tim
Language
English
Member of collection
| Download file | Size |
|---|---|
| etd22294.pdf | 3.53 MB |