Meta-analytics: tools for understanding the statistical properties of sports metrics
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DOI: 10.1515/jqas-2016-0098
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References listed on IDEAS
- Bradley Efron, 2015. "Frequentist accuracy of Bayesian estimates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 77(3), pages 617-646, June.
- Baumer Benjamin S. & Jensen Shane T. & Matthews Gregory J., 2015. "openWAR: An open source system for evaluating overall player performance in major league baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(2), pages 69-84, June.
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Cited by:
- Mallepalle Sarah & Yurko Ronald & Pelechrinis Konstantinos & Ventura Samuel L., 2020. "Extracting NFL tracking data from images to evaluate quarterbacks and pass defenses," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(2), pages 95-120, June.
- Marco Sandri & Paola Zuccolotto & Marica Manisera, 2020. "Markov switching modelling of shooting performance variability and teammate interactions in basketball," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1337-1356, November.
- Yurko Ronald & Ventura Samuel & Horowitz Maksim, 2019. "nflWAR: a reproducible method for offensive player evaluation in football," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(3), pages 163-183, September.
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Keywords
analysis of variance; basketball; hockey; reliability;All these keywords.
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