📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Bayesian Approach for Determining Player Abilities in Football (2021)

First Author: Whitaker G

Attributed to: The Alan Turing Institute funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/rssc.12454

Publication URI: http://dx.doi.org/10.1111/rssc.12454

Type: Journal Article/Review

Parent Publication: Journal of the Royal Statistical Society Series C: Applied Statistics

Issue: 1

ISSN: 14679876 00359254