Evaluating NBA player performance using bounded integer data envelopment analysis

被引：18

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

页码：38 / 51

页数：14

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