Evaluating NBA player performance using bounded integer data envelopment analysis

被引：17
|
作者：
Chen, Ya [1 ]
Gong, Yande [2 ]
Li, Xiang [3 ]
机构：
[1] Hefei Univ Technol, Sch Econ, Hefei, Anhui, Peoples R China
[2] Nanjing Audit Univ, Sch Management Sci & Engn, Nanjing, Jiangsu, Peoples R China
[3] Nanjing Audit Univ, Sch Econ & Trade, Nanjing, Jiangsu, Peoples R China
来源：
INFOR | 2017年 / 55卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Data envelopment analysis (DEA); efficiency; performance; bounded; integer; NBA; MAJOR-LEAGUE BASEBALL; SUPER-EFFICIENCY DEA; 2-STAGE DEA; INFEASIBILITY; MODEL; FOOTBALL;
D O I：
10.1080/03155986.2016.1262581
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Data envelopment analysis (DEA) assumes that data are continuous. However, there are situations where data are integers and bounded. For example, in basketball games, the total number of points that a player has scored is an integer and cannot exceed three times of the number of point field goals that a player has attempted. Without modelling the correct data type, the DEA results can be biased and erroneous. The current paper applies a bounded integer DEA model to evaluating the performance of National Basketball Association (NBA) players when bounded integer data exist. As a result, we correctly capture the data type. The current study also develops a super-efficiency measure under the bounded integer data. The bounded integer data problem is illustrated with data involving a set of NBA shooting guards in the 2013-2014 season.
引用
收藏
页码：38 / 51
页数：14
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