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Applied Economics Volume 45, 2013 - Issue 29
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Original Articles

A note on the ‘Linsanity’ of measuring the relative efficiency of National Basketball Association guards

Boon L. Lee School of Economics and Finance, Queensland University of Technology, Brisbane, QLD, AustraliaCorrespondence[email protected]
&
Andrew C. Worthington Department of Accounting, Finance and Economics, Griffith University, Brisbane, QLD, Australia
Pages 4193-4202 | Published online: 16 Apr 2013

Citations (10)

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Read on this site (2)

G. Villa & S. Lozano. (2018) Dynamic Network DEA approach to basketball games efficiency. Journal of the Operational Research Society 69:11, pages 1738-1750.
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Ya Chen, Yande Gong & Xiang Li. (2017) Evaluating NBA player performance using bounded integer data envelopment analysis. INFOR: Information Systems and Operational Research 55:1, pages 38-51.
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Articles from other publishers (8)

Eyüp Anıl DUMAN. (2022) Entegre Edilmiş Bulanık SWARA ve Bulanık TOPSIS Yöntemleri ile Spor Okulu Seçimi. International Journal of Advances in Engineering and Pure Sciences 34:4, pages 504-516.
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Fuzhi Su & Meihong Chen. (2022) Basketball players' score prediction using artificial intelligence technology via the Internet of Things. The Journal of Supercomputing 78:17, pages 19138-19166.
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Meihong Chen & Fuzhi Su. (2022) A basketball game prediction system based on artificial intelligence. The Journal of Supercomputing 78:10, pages 12528-12552.
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Saeed Assani, Muhammad Salman Mansoor, Faisal Asghar, Yongjun Li & Feng Yang. (2022) Efficiency, RTS, and marginal returns from salary on the performance of the NBA players: A parallel DEA network with shared inputs. Journal of Industrial and Management Optimization 18:3, pages 2001.
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Eyüp Anıl Duman, Bahar Sennaroğlu & Gülfem Tuzkaya. (2021) A cluster analysis of basketball players for each of the five traditionally defined positions. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, pages 175433712110620.
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Yongjun Li, Lizheng Wang & Feng Li. (2021) A data-driven prediction approach for sports team performance and its application to National Basketball Association. Omega 98, pages 102123.
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Slobodan Simovic, Bojan Matkovic, Mihajlo Mijanovic & Milenko Vojvodic. (2019) Comparative values, correlation and classification of basketball players based on the efficiency index and expert evaluation by coaches. International Journal of Physical Education, Fitness and Sports, pages 76-87.
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Ping-Feng Pai, Lan-Hung ChangLiao & Kuo-Ping Lin. (2016) Analyzing basketball games by a support vector machines with decision tree model. Neural Computing and Applications 28:12, pages 4159-4167.
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