[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.17703/IJACT.2020.8.3.216

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

Won, Jin-hee (Human Performance Laboratory, Korea National Sport University)
Cho, In-ho (Korea National Sport University)

Publication Information

International Journal of Advanced Culture Technology / v.8, no.3, 2020 , pp. 216-222 More about this Journal

Abstract

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.

Keywords

time series analysis; prediction model; performance; female weightlifter;

Citations & Related Records

Times Cited By KSCI : 2 (Citation Analysis)

Reference
Cited By KSCI

1	Yoon, H. J., & Ahn, J. K. (2013). Predicting the Horse Racing Revenue in Korea Using an ARIMA Model. Korean Journal Sport Management, 18(5), 1-10.
2	Nam, H. J., Lee, J. H., & Hong, D. S. (2018). The Effect of Using Mouth Guard on Athletic performance in Weight-Lifting Athletes. The Korea Journal of sports Science, 27(4), 833-844. DOI: 10.35159/kjss.2018.08.27.4.833 DOI
3	Chea, J. S., & Song, J. K. (2014). Performance Analysis and a Forecasting Model for The Short-Term Series in The Korean Professional Baseball League. The Journal of Sport Science, 25(1), 92-107. DOI: 10.24985/kjss.2014.25.1.92
4	Kim, M. C. (2009). Mediator effect analysis of teenagers' impulse buying of sporting goods in the on-Line purchase decision-making process. The Korean Journal of Physical Edcation, 48(4), 189-202.
5	Kim, K. H., Jeong, C. K., & Kang, H. S. (2013). Physical Fitness of Collegiate Soccer Athletes and Prediction of Performance Abilities. The Korean Journal of Sport, 11(3), 67-74.
6	Kim, E. J. & Cho, I. H. (2017). The Validation for Estimation of Performance Required for Ice hockey players on the Basis of Field test. The Korean Journal of Sport, 15(2), 893-906. DOI
7	Park, S. H., Kim, K. H., & Huh, Y. (2009). College Ssireum Player's Strength Profile and Performance Perdictions. The Journal of Korean Alliance of Martial Arts, 11(1), 213-225. DOI: 10.35277/kama.2009.11.1.213 DOI
8	Cho, Y. H., & Seo, T. B. (2020). Vertical jump and hand grip strength are indicators for predicting performance of Korea national weightlifters. The Korea Journal of Sports Science, 29(2), 1025-1035. DOI : 10.35159/kjss.2020.04.29.2.1025 DOI
9	Kim, J. S., Lee, M. K. & Park, J. S. (2015). Effects of self-regulation with EEG neuro-feedback training on high school bowling player's cognitive and performance abilities. The Korean Journal of Physical Edcation, 54(6), 495-503.
10	Lee, S. H., & Kim, J. H. (2020). Seasonal Variation in Physiological Fitness of a Semi-Professional K3 League Soccer Team. Journal of Digital Convergence, 18(1), 357-368. DOI: 10.14400/JDC.2020.18.1.357 DOI
11	So, Y. H. (2016). Relationship among Coach-Athlete Relationship, Exercise Passion, and Perceived Performance of High School Athletes. The Korean Journal of Physical Edcation, 55(5), 105-115.
12	Jung, J. H. (2005). The prediction of Psychological Factors for canoe players' performance. The Korean Journal of Physical Edcation, 44(6), 347-357.
13	Chang, J. K., & Lee, D. H. (2009). Predicted Performance Based on the Performance Level of Sprinter and Coaches' Professional Experience. Korean Journal of Sport Science, 20(2), 426-433. DOI: 10.24985/kjss.2009.20.2.426 DOI
14	Choi, Y. M., & Kim, S. H. (1998). Forecasting Accuracy of Single Variable Time - series Model for Tourism Demand ; Comparison of Actual and Forecasted Data of Korean Travelers Overseas. The Tourism Sciences Society of Korea, 21(2), 111-128.
15	Kim, M. C. (2013). A Study on the Relationship between Service Quality and Customers in the Sports Industry Using KS-SQI : Focused on Professional Baseball Teams, Golf Clubs, and Ski Resorts. Journal of sport and Leisure Studies, 51(1), 343-352. DOI
16	Park, D. Y., & Kim, J. W. (2016). Analytic Study on the Demand Forecast of Pro-Baseball Spectators of KBO(2016-2020). The Korean Journal of Sport, 14(4), 415-426.
17	Park, D. Y., Jung, J. H., & Han, J. K. (2011). An Analysis of Demand Forecasting for Jejudo Leisure Sports Tourists by Using Time Series Analysis. The Korean Journal of Sport, 9(4), 147-159.