识别篮球比赛中动量的关键因素。
Identifying key factors in momentum in basketball games.
作者信息
Chen Tao, Fan Qingliang, Liu Kai, Le Lingshan
机构信息
Department of Economics, University of Waterloo, Ontario, Canada.
Big Data Research Lab, University of Waterloo, Ontario, Canada.
出版信息
J Appl Stat. 2020 Jul 21;48(16):3116-3129. doi: 10.1080/02664763.2020.1795819. eCollection 2021.
Momentum as elaborated under a recent novel definition has been shown quantitatively to have a significant impact on basketball game outcomes. This paper makes two contributions to the analytical literature on sports momentum: (1) two aspects of the new definition are operationalized so that its practicality becomes evident; and (2) through a dimension-reduction technique (elastic net), key factors associated with momentum are identified. Both technical variables such as field goals, assists, rebounds, etc. and environmental variables such as the spectator attendance rate and player salary dispersion are considered, and the potential for useful real-time analyzes is illustrated.
根据最近一个新颖的定义所阐述的势头已被定量证明对篮球比赛结果有重大影响。本文对体育势头的分析文献做出了两点贡献：（1）对新定义的两个方面进行了操作化处理，使其实用性变得明显；（2）通过一种降维技术（弹性网络），识别出与势头相关的关键因素。研究考虑了诸如投篮命中数、助攻、篮板等技术变量以及观众上座率和球员薪资差异等环境变量，并说明了进行有用的实时分析的可能性。
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