Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/230114 
Erscheinungsjahr: 
2019
Quellenangabe: 
[Journal:] Journal of the Royal Statistical Society: Series A (Statistics in Society) [ISSN:] 1467-985X [Volume:] 183 [Issue:] 2 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2019 [Pages:] 565-580
Verlag: 
Wiley, Hoboken, NJ
Zusammenfassung: 
We investigate the hot hand hypothesis in professional darts in a nearly ideal setting with minimal to no interaction between players. Considering almost 1 year of tournament data, corresponding to 167492 dart throws in total, we use state space models to investigate serial dependence in throwing performance. In our models, a latent state process serves as a proxy for a player's underlying form, and we use auto-regressive processes to model how this process evolves over time. Our results regarding the persistence of the latent process indicate a weak hot hand effect, but the evidence is inconclusive.
Schlagwörter: 
Hidden Markov model
Hot hand
Sports statistics
State space model
Time series
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Dokumentart: 
Article
Dokumentversion: 
Published Version

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