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http://dx.doi.org/10.7465/jkdi.2016.27.3.653

The estimation of winning rate in Korean professional baseball league  

Kim, Soon-Kwi (Department of Information Statistics, Gangneung-Wonju National University)
Lee, Young-Hoon (Department of Information Statistics, Gangneung-Wonju National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.3, 2016 , pp. 653-661 More about this Journal
Abstract
In this paper, we provide a suitable optimal exponent in the generalized Pythagorean theorem and propose to use the logistic model & the probit model to estimate the winning rate in Korean professional baseball league. Under a criterion of root-mean-square-error (RMSE), the efficiencies of the proposed models have been compared with those of the Pythagorean theorem. We use the team historic win-loss records of Korean professional baseball league from 1982 to the first half of 2015, and the proposed methods show slight outperformances over the generalized Pythagorean method under the criterion of RMSE.
Keywords
Cluster analysis; generalized Pythagorean theorem; logistic model; probit model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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