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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.

DOI:10.1080/02664763.2020.1795819
PMID:35707253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9041568/
Abstract

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.

摘要

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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Exploring Game Performance in the National Basketball Association Using Player Tracking Data.利用球员追踪数据探索美国职业篮球联赛中的比赛表现
PLoS One. 2015 Jul 14;10(7):e0132894. doi: 10.1371/journal.pone.0132894. eCollection 2015.
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Regularization Paths for Generalized Linear Models via Coordinate Descent.基于坐标下降法的广义线性模型正则化路径
J Stat Softw. 2010;33(1):1-22.
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Behavioral momentum in college basketball.大学生篮球比赛中的行为动力。
J Appl Behav Anal. 1992 Fall;25(3):657-63. doi: 10.1901/jaba.1992.25-657.