A Logistic Regression/Markov Chain Model for American College Football
Kvam and Sokol developed a successful logistic regression/Markov chain (LRMC) model for ranking college basketball teams part of Division I of the National Colligate Athletic Association (NCAA). In their 2006 publication, they illustrated that the LRMC model is one of the most successful ranking sys...
Saved in:
| Main Authors: | Kolbush J., Sokol J. |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2017-12-01
|
| Series: | International Journal of Computer Science in Sport |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/ijcss-2017-0014 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Concussion management in US college football: progress and pitfalls
by: Christine M Baugh, et al.
Published: (2016-03-01) -
Exploration of the path of digital technology empowering the sustainable development of alumni football—a study based on ordinal logistic regression analysis
by: Jiao Wang, et al.
Published: (2025-08-01) -
The impact of plyometric training program on sprinting speed and jumping ability in american football players of a german amateur club
by: Angelika Luberecka
Published: (2022-07-01) -
Review of From Dixie to Rocky Top: Music and Meaning in Southeastern Conference Football by Carrie Tipton
by: John Michael McCluskey
Published: (2024-12-01) -
Contributors to caregiver burden, depression, and anxiety in the partners of professional American-style football players: a cross-sectional study
by: Niki Konstantinides, et al.
Published: (2025-05-01)