篮球射击测试的可靠性与二元结果
R Jutreša1, E Štrumbelj1, F Erčulj2
1Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
Journal of sports sciences
|November 24, 2024
概括
可靠的篮球射击测试需要模拟二进制结果和大样本大小. 虽然射击轨迹数据提供了洞察力,但它并不能显著提高射击能力的估计.
科学领域:
- 运动科学 运动科学 运动科学
- 统计建模 统计建模
- 生物力学 生物力学
背景情况:
- 评估篮球射击表现对于球员的发展和评估至关重要.
- 分析射击试验数据的现有方法可能无法完全捕捉二进制结果的细微差别或包含轨迹信息.
- 确定可靠的性能测量的最佳射击数量是一个持续的挑战.
研究的目的:
- 开发和评估贝叶斯统计模型来分析二进制篮球射击测试数据.
- 调查样本大小对射击试验可靠性的影响.
- 评估射击轨迹数据 (位置,角度) 在改进射击能力估计方面的附加值.
主要方法:
- 贝叶斯统计模型被设计用于同时处理来自多个个体的二进制结果和模型数据.
- 该模型的实用性通过模拟研究来证明.
- 分析了27名篮球运动员的现实数据和4次射击测试中的7309次射击.
主要成果:
- 用二进制结果对拍摄数据进行建模对于准确的分析来说实际上很重要.
- 可靠的篮球射击测试需要相对较大的样本大小 (射击数量).
- 射击轨迹数据提供了有价值的见解,但并没有在估计射击能力方面取得有意义的改进.
结论:
- 开发的贝叶斯模型有效地解决了篮球射击测试数据的复杂性.
- 适当的样本大小对于实现可靠的射击性能评估至关重要.
- 虽然轨迹数据提供了补充信息,但其目前在提高射击能力估计方面的有用性在这种情况下是有限的.
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