Improved component predictions of batting and pitching measures
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DOI: 10.1515/jqas-2015-0063
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References listed on IDEAS
- Albert James, 2006. "Pitching Statistics, Talent and Luck, and the Best Strikeout Seasons of All-Time," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 2(1), pages 1-32, January.
- Neal Dan & Tan James & Hao Feng & Wu Samuel S, 2010. "Simply Better: Using Regression Models to Estimate Major League Batting Averages," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-14, July.
- Piette James & Braunstein Alexander & McShane Blakeley B & Jensen Shane T., 2010. "A Point-Mass Mixture Random Effects Model for Pitching Metrics," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-17, July.
- McShane Blakeley B. & Braunstein Alexander & Piette James & Jensen Shane T., 2011. "A Hierarchical Bayesian Variable Selection Approach to Major League Baseball Hitting Metrics," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-26, October.
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Cited by:
- Santos-Fernandez Edgar & Wu Paul & Mengersen Kerrie L., 2019. "Bayesian statistics meets sports: a comprehensive review," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(4), pages 289-312, December.
- Gerber Eric A. E. & Craig Bruce A., 2021. "A mixed effects multinomial logistic-normal model for forecasting baseball performance," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(3), pages 221-239, September.
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Keywords
Bayesian analysis; beta-binomial model; exchangeable model; shrinkage;All these keywords.
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