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논문검색

Culture Convergence (CC)

A model of predicting performance of Olympic female weightlifters using time series analysis

원문정보

초록

영어

The purpose of this study was to predict the performance of female weightlifters using time series analysis. Based on this purpose, a time series analysis was used to calculate the performance prediction model for women(58kg) among the domestic women weightlifters who participated in the Olympics. As a result of creating time series data based on 10 years of record and then evaluating the sequential charts of each athlete group, the female athletes' records did not show any seasonality or difference. In addition, after examining the independence of the data through the creation of a time series model, it was shown that the models produced conformed to the criteria for compliance and that there was no difference in the data, but there was a trend. Accordingly, Holt linear trend analysis of the exponential smoothing model was applied. As a result of deriving the prediction model of the athletes through this process, it was found that the women (58kg) who participated in the Olympics continued to improve within the range of 166.11kg to 184.1kg.

목차

Abstract
1. Introduction
2. Research Method
2.1 Research Subject and Data Collection
2.2 Research Procedure
2.3. Data Processing Method
3. Result
3.1. Women’s(58kg) Performance Prediction Model
3.2. Creating and Evaluating Predictive Models
4. Discussion
5. Conclusion and Suggestions
References

저자정보

  • Jin-hee Won Human Performance Laboratory, Korea National Sport University
  • In-ho Cho Republic of Korea, Korea National Sport University

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