Looking at spacings to assess streakiness
Albert Jim ()
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Albert Jim: Bowling Green State University-Mathematics and Statistics Bowling Green, Ohio, USA
Journal of Quantitative Analysis in Sports, 2013, vol. 9, issue 2, 151-163
Abstract:
There is much interest in studying the hot hand behavior of individuals and teams in sports. We collect success/failure data for each of the hitters in a particular baseball season, focusing on the spacings or number of at-bats between consecutive successes. Consistent and streaky models are defined on the basis of the underlying geometric probabilities and a Bayes factor statistic is developed to compare the two models. By looking at the ensemble of test statistics over all players, we see if the patterns of streakiness differ from what one would predict from a consistent hitting model. An interesting observation from this study is the pattern of streakiness depends on how one defines a success in a plate appearance.
Keywords: Bayes factor; geometric distribution; predictive distribution (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:9:y:2013:i:2:p:151-163:n:3
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DOI: 10.1515/jqas-2012-0015
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