A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance.

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第一作者： Abdullah M,Almarashi

第一单位： Department of Statistics, Faculty of Science, King Abdulaziz University, 21589, Jeddah, Saudi Arabia.

作者： Abdullah M,Almarashi ^[1] ; Muhammad,Daniyal ^[2] ; Farrukh,Jamal ^[3]

作者单位： Department of Statistics, Faculty of Science, King Abdulaziz University, 21589, Jeddah, Saudi Arabia. ^[1] Department of Statistics, Faculty of Computing, The Islamia University of Bahawalpur, Punjab, 63100, Pakistan. muhammad.daniyal@iub.edu.pk. ^[2] Department of Statistics, Faculty of Computing, The Islamia University of Bahawalpur, Punjab, 63100, Pakistan. ^[3]

关键词 Forecasting Modelling NNAR Neural Networking Nonlinear time series TBATS

DOI 10.1186/s13102-024-00815-7

PMID 38273407

发布时间 2024-10-23

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BMC sports science, medicine & rehabilitation

2024年16卷1期

28页

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A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance.

BMC sports science, medicine & rehabilitation

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BMC sports science, medicine & rehabilitation

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A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance.

BMC sports science, medicine & rehabilitation

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BMC sports science, medicine & rehabilitation

相关期刊

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