Browse > Article
http://dx.doi.org/10.7465/jkdi.2014.25.6.1481

A study on prediction for attendances of Korean probaseball games using covariates  

Han, Ga-Hee (Department of Statistics, Ewha Womans University)
Chung, Jigyu (Samsung Sports)
Yoo, Jae Keun (Department of Statistics, Ewha Womans University)
Publication Information
Journal of the Korean Data and Information Science Society / v.25, no.6, 2014 , pp. 1481-1489 More about this Journal
Abstract
For predicting yearly total attendances in Korean probaseball games, ARIMA models have been widely adopted so far. In this paper, we discuss two other ways of ARIMAX and growth curves with an exogenous variable to predict the attendances. By using the exogenous variable, it turns out that the prediction has been improved compared to ARIMA. It is concluded that various statistical methods must be considered for better prediction, and its results can be applied to predict the attendances of other pro sports.
Keywords
ARIMA; ARIMAX; covariate; growth curve; prediction of attendances;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Kim, H. J. (2012). Effects of on-base and slugging ability on run productivity in Korean professional baseball. Journal of the Korean Data & Information Science Society, 23, 1065-1074.   과학기술학회마을   DOI   ScienceOn
2 Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1994). Time series analysis: Forecasting and control, 3rd Ed., Prentice-Hall, New Jersey.
3 Cho, S. and Son, Y. S. (1999). Time series analysis, Yulgok, Seoul.
4 Kim, H.-D. and Chae, J.-S. (2012). Prediction of the number of spectators for the pro-baseball club using a time series model. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 14, 57-68.
5 Kim, M.-C. (2009). Model study to predict the number of pro-baseball spector by time series analysis: About Busan Lotte Giants'spector. Korean Journal of Sport Management, 14, 17-25.
6 Lee, J. T. (2014a). Measurements for hitting ability in the Korean pro-baseball. Journal of the Korean Data & Information Science Society, 25, 349-356.   과학기술학회마을   DOI   ScienceOn
7 Lee, J. T. (2014b). Estimation of OBP coefficient in Korean professional baseball. Journal of the Korean Data & Information Science Society, 25, 357-363.   과학기술학회마을   DOI   ScienceOn
8 Lee, J. T. (2014c). Pitching grade index in Korean pro-baseball. Journal of the Korean Data & Information Science Society, 25, 485-492.   과학기술학회마을   DOI   ScienceOn
9 Lemke, R. J., Leonard, M. and Tlhokwane, K. (2010). Estimating attendance at major league baseball games for the 2007 season. Journal of Sports Economics, 11, 316-348.   DOI   ScienceOn
10 Seung, H. and Kang and K.-H. (2012). A study on relationship between the performance of professional baseball players and annual salary. Journal of the Korean Data & Information Science Society, 23, 285-298.   과학기술학회마을   DOI   ScienceOn
11 Sul, M. S., Park, D. Y. and Lee, M. J. (2010). Forecast study of Korea pro baseball spectators by using time series analysis (2011-2015). Journal of Sport and Leisure Studies, 45, 375-387.