A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance
Abstract Background Prediction models have gained immense importance in various fields for decision-making purposes. In the context of tennis, relying solely on the probability of winning a single match may not be sufficient for predicting a player's future performance or ranking. The performan...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2024-01-01
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Series: | BMC Sports Science, Medicine and Rehabilitation |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13102-024-00815-7 |