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arXiv · 2312.14637

Faster identification of faster Formula 1 drivers via time-rank duality

John Fry·Tom Brighton·Silvio Fanzon
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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.

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John Fry, Tom Brighton, Silvio Fanzon. 2023-12-22. Faster identification of faster Formula 1 drivers via time-rank duality. https://doi.org/10.1016/j.econlet.2024.111671

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