Statistical Analysis of F1 Monaco Grand Prix 2016. Relations Between Weather, Tyre Type and Race Stints. Gianluca Rosso, Andrea Filippo Rosso To cite this version: Gianluca Rosso, Andrea Filippo Rosso. Statistical Analysis of F1 Monaco Grand Prix 2016. Relations Between Weather, Tyre Type and Race Stints.. 2016. hal-01343716 HAL Id: hal-01343716 https://hal.archives-ouvertes.fr/hal-01343716 Preprint submitted on 9 Jul 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. © Author(s), 2016. CC Attribution 3.0 Licence. Statistical Analysis of F1 Monaco Grand Prix 2016. Relations Between Weather, Tyre Type and Race Stints. Gianluca Rosso1 Andrea Filippo Rosso2 Correspondence to:
[email protected] July 2016 _____________________________________________________________________________ KEYWORDS. Sports, driving, Formula 1, statistical analysis, time series, climate variability, regression analysis, POT Peaks Over Threshold method, missing values, imputation active strategy. ABSTRACT. 1 The last Grand Prix of Monaco was interesting for climate variability. If qualifications were held in dry and warm weather, the race was preceded by heavy rain with result of having to start the race with the safety car. Tyres choices and length of stints have definitely influenced the final result.