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http://dx.doi.org/10.7465/jkdi.2016.27.3.677

Alternative hitting ability index for KBO  

Hong, Chong Sun (Department of Statistics, Sungkyunkwan University)
Kim, Jae Young (Department of Statistics, Sungkyunkwan University)
Shin, Dong Sik (Department of Statistics, Sungkyunkwan University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.3, 2016 , pp. 677-687 More about this Journal
Abstract
Among lots of sabermetric statistics for baseball batters' ability, the wins above replacement (WAR) is the most popular statistic in MLB. However, there exists a difficulty applying WAR to KBO, since KBO data do not have position adjustment, league adjustment and park factor which are essential in calculating WAR. In this paper, using five statistics for both KBO and MLB qualified batters, we propose hitting ability index (HAI), an alternative sabermetric indices to represent batters' ability. Comparing HAI with WAR of MLB batters, we evaluate the validity of HAI and then applied HAI to 2015 KBO data in which HAI is analyzed statistically with respect to different teams, ages, and positions. Moreover, the linear relationship between KBO batter's HAI and their annual salary is discussed. Grouping 46 KBO batters based on confidence region of the regression model for annual salary, we also statistically investigate batter's annual salary in these groups with respect to several factors.
Keywords
Hitting ability; principal component; regression model; sabermetrics;
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Times Cited By KSCI : 8  (Citation Analysis)
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