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http://dx.doi.org/10.7465/jkdi.2014.25.3.485

Pitching grade index in Korean pro-baseball  

Lee, Jang Taek (Department of Applied Statistics, Dankook University)
Publication Information
Journal of the Korean Data and Information Science Society / v.25, no.3, 2014 , pp. 485-492 More about this Journal
Abstract
In baseball, the traditional measure of pitchers are wins and ERA. But these statistics are influenced by luck or team power. So sabermetrician proposes a number of indicators that predict future performance. We determine a new measure, which we call pitching grade index (PGI) that efficiently summarizes a pitcher's performance on a numerical scale using principal components analysis. The PGI statistic can often be useful to assessing a pitcher's individual contribution. Also K-means clustering algorithm are used for segmentation of players into groups.
Keywords
K-means clustering; pitching grade index; principal components analysis; sabmetrician;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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