Some searches may not work properly. We apologize for the inconvenience.
My bibliography Save this articleRoute identification in the National Football League: An application of model-based curve clustering using the EM algorithm
Author
Abstract
Suggested Citation
DOI: 10.1515/jqas-2019-0047
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Baumer Benjamin S. & Jensen Shane T. & Matthews Gregory J., 2015. "openWAR: An open source system for evaluating overall player performance in major league baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(2), pages 69-84, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Franks Alexander M. & D’Amour Alexander & Cervone Daniel & Bornn Luke, 2016. "Meta-analytics: tools for understanding the statistical properties of sports metrics," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(4), pages 151-165, December.
- Mallepalle Sarah & Yurko Ronald & Ventura Samuel L. & Pelechrinis Konstantinos, 2020. "Extracting NFL tracking data from images to evaluate quarterbacks and pass defenses," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(2), pages 95-120, June.
- Yurko Ronald & Ventura Samuel & Horowitz Maksim, 2019. "nflWAR: a reproducible method for offensive player evaluation in football," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(3), pages 163-183, September.
- Jyh-How Huang & Yu-Chia Hsu, 2021. "A Multidisciplinary Perspective on Publicly Available Sports Data in the Era of Big Data: A Scoping Review of the Literature on Major League Baseball," SAGE Open, , vol. 11(4), pages 21582440211, November.
- Yurko Ronald & Ventura Samuel & Horowitz Maksim, 2019. "nflWAR: a reproducible method for offensive player evaluation in football," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(3), pages 163-183, September.
- Shane Sanders & Joel Potter & Justin Ehrlich & Justin Perline & Christopher Boudreaux, 2021. "Informed voters and electoral outcomes: a natural experiment stemming from a fundamental information-technological shift," Public Choice, Springer, vol. 189(1), pages 257-277, October.
- Vock David Michael & Vock Laura Frances Boehm, 2018. "Estimating the effect of plate discipline using a causal inference framework: an application of the G-computation algorithm," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 14(2), pages 37-56, June.
More about this item
Keywords
expectation maximization algorithm; functional data; model-based curve clustering; route identification;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:jqsprt:v:16:y:2020:i:2:p:121-132:n:1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.