Faster identification of faster Formula 1 drivers via time-rank duality
Applications
2024-06-21 v2 Probability
Abstract
Two natural ways of modelling Formula 1 race outcomes are a probabilistic approach, based on the exponential distribution, and econometric modelling of the ranks. Both approaches lead to exactly soluble race-winning probabilities. Equating race-winning probabilities leads to a set of equivalent parametrisations. This time-rank duality is attractive theoretically and leads to quicker ways of dis-entangling driver and car level effects.
Keywords
Cite
@article{arxiv.2312.14637,
title = {Faster identification of faster Formula 1 drivers via time-rank duality},
author = {John Fry and Tom Brighton and Silvio Fanzon},
journal= {arXiv preprint arXiv:2312.14637},
year = {2024}
}
Comments
9 pages