Frontmatter.
- Published in:
- Journal of Quantitative Analysis in Sports, 2021, v. 17, n. 3, p. i, doi. 10.1515/jqas-2021-frontmatter3
- Publication type:
- Article
Works matching IS 21946388 AND DT 2021 AND VI 17 AND IP 3
Results: 7
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Winning and losing streaks in the National Hockey League: are teams experiencing momentum or are games a sequence of random events?
- Published in:
- Journal of Quantitative Analysis in Sports, 2021, v. 17, n. 3, p. 155, doi. 10.1515/jqas-2020-0077
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- Publication type:
- Article
3
How to extend Elo: a Bayesian perspective.
- Published in:
- Journal of Quantitative Analysis in Sports, 2021, v. 17, n. 3, p. 203, doi. 10.1515/jqas-2020-0066
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- Publication type:
- Article
4
A Skellam regression model for quantifying positional value in soccer.
- Published in:
- Journal of Quantitative Analysis in Sports, 2021, v. 17, n. 3, p. 187, doi. 10.1515/jqas-2019-0122
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- Publication type:
- Article
5
The middle-seed anomaly: why does it occur in some sports tournaments but not others?
- Published in:
- Journal of Quantitative Analysis in Sports, 2021, v. 17, n. 3, p. 171, doi. 10.1515/jqas-2020-0065
- By:
- Publication type:
- Article
6
Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data.
- Published in:
- Journal of Quantitative Analysis in Sports, 2021, v. 17, n. 3, p. 241, doi. 10.1515/jqas-2020-0051
- By:
- Publication type:
- Article
7
A mixed effects multinomial logistic-normal model for forecasting baseball performance.
- Published in:
- Journal of Quantitative Analysis in Sports, 2021, v. 17, n. 3, p. 221, doi. 10.1515/jqas-2020-0007
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- Publication type:
- Article