A Bayesian Mean-Value Approach with a Self-Consistently Determined Prior Distribution for the Ranking of College Football Teams

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dc.creatorAshburn, James R.
dc.creatorColvert, Paul M.
dc.date2006-07-07
dc.date2007-06-26
dc.date.accessioned2026-07-07T08:12:21Z
dc.date.available2026-07-07T08:12:21Z
dc.descriptionWe introduce a Bayesian mean-value approach for ranking all college football teams using only win-loss data. This approach is unique in that the prior distribution necessary to handle undefeated and winless teams is calculated self-consistently. Furthermore, we will show statistics supporting the validity of the prior distribution. Finally, a brief comparison with other football rankings will be presented.
dc.description33 pages
dc.identifierhttps://arxiv.org/abs/physics/0607064
dc.identifierhttp://arxiv.org/abs/physics/0607064
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/132423
dc.subjectPopular Physics
dc.subjectData Analysis, Statistics and Probability
dc.titleA Bayesian Mean-Value Approach with a Self-Consistently Determined Prior Distribution for the Ranking of College Football Teams
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