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The American Statistician Volume 72, 2018 - Issue 1: Special Issue on Data Science
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Article

Modeling Offensive Player Movement in Professional Basketball

Steven WuDepartment of Statistics and Actuarial Science, Simon Fraser University, Sacramento KingsView further author information
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Luke BornnDepartment of Statistics and Actuarial Science, Simon Fraser University, Sacramento KingsView further author information
Pages 72-79 | Received 01 Aug 2017, Published online: 24 Apr 2018

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Fan Yin, Guanyu Hu & Weining Shen. (2023) Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach. Journal of Computational and Graphical Statistics 32:1, pages 49-60.
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Yoran E. Leichsenring, Rafael Stubs Parpinelli & Fabiano Baldo. (2021) A method to identify defensive assignments in team-based invasion sports using spatiotemporal trajectories. International Journal of Geographical Information Science 35:4, pages 741-762.
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Articles from other publishers (15)

Pierpalo D’Urso, Livia De Giovanni & Vincenzina Vitale. (2022) A Bayesian network to analyse basketball players’ performances: a multivariate copula-based approach. Annals of Operations Research 325:1, pages 419-440.
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Paola Zuccolotto, Marco Sandri & Marica Manisera. (2022) Spatial performance analysis in basketball with CART, random forest and extremely randomized trees. Annals of Operations Research 325:1, pages 495-519.
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Alessandro Chessa, Pierpaolo D’Urso, Livia De Giovanni, Vincenzina Vitale & Alfonso Gebbia. (2022) Complex networks for community detection of basketball players. Annals of Operations Research 325:1, pages 363-389.
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Tullio Facchinetti, Rodolfo Metulini & Paola Zuccolotto. (2021) Filtering active moments in basketball games using data from players tracking systems. Annals of Operations Research 325:1, pages 521-538.
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Evangelos Charamis, Christos Marmarinos & Ioannis Ntzoufras. (2022) Estimating team possessions in high-level European basketball competition. International Journal of Sports Science & Coaching 18:1, pages 220-230.
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Guanghui Huang. (2023) Movement Balance Evaluation for Basketball Training Through Multi-Source Sensors. International Journal of e-Collaboration 19:5, pages 1-11.
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Niklas Wulkow. (2022) Measuring Dependencies between Variables of a Dynamical System Using Fuzzy Affiliations. AppliedMath 2:2, pages 284-311.
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Yihong Wu, Dazhen Deng, Xiao Xie, Moqi He, Jie Xu, Hongzeng Zhang, Hui Zhang & Yingcai Wu. (2022) OBTracker: Visual Analytics of Off-ball Movements in Basketball. IEEE Transactions on Visualization and Computer Graphics, pages 1-11.
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Biruk E Tegicho, Michael D Chestnut, Daniel Webb & Corey Graves. (2021) Basketball Shot Analysis Based on Goal Assembly Disturbance. Basketball Shot Analysis Based on Goal Assembly Disturbance.
Zhe Wang & Yuzhong Liu. (2021) A Method of Using Data Mining and Edge Computing to Calculate the Standing Efficiency of Basketball Games. Security and Communication Networks 2021, pages 1-8.
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Sarka Krizkova, Hana Tomaskova & Erfan Babaee Tirkolaee. (2021) Sport Performance Analysis with a Focus on Racket Sports: A Review. Applied Sciences 11:19, pages 9212.
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Paola Zuccolotto, Marco Sandri & Marica Manisera. (2019) Spatial Performance Indicators and Graphs in Basketball. Social Indicators Research 156:2-3, pages 725-738.
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Min Peng, Zhong Zhang & Qingfeng Zhou. (2020) Basketball Footwork Recognition using Smart Insoles Integrated with Multiple Sensors. Basketball Footwork Recognition using Smart Insoles Integrated with Multiple Sensors.
Blake D. McLean, Donald Strack, Jennifer Russell & Aaron J. Coutts. (2019) Quantifying Physical Demands in the National Basketball Association—Challenges Around Developing Best-Practice Models for Athlete Care and Performance. International Journal of Sports Physiology and Performance 14:4, pages 414-420.
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Marica Manisera, Rodolfo Metulini & Paola Zuccolotto. 2019. New Statistical Developments in Data Science. New Statistical Developments in Data Science 305 318 .

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