Title :
Principal component analysis of starting pitcher indexes in Nippon professional baseball
Author :
Shokei Gushiken;Junpei Ikezaki;Ryota Miyata
Author_Institution :
Graduate School of Engineering and Science, University of the Ryukyus, 1, Senbaru, Nishihara, Nakagami, Okinawa, 903-0213, Japan
Abstract :
In this report, we apply principal component analysis (PCA) to the starting pitcher data of Nippon professional baseball league in 2014 that were composed of 11 typical sabermetrics indexes. We find that the 11 indexes can be summarized with two or three variables by using PCA.
Keywords :
"Indexes","Principal component analysis","Sports equipment","Correlation","Loading","Games","Nakagami distribution"
Conference_Titel :
Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2015 International Conference on
DOI :
10.1109/ICIIBMS.2015.7439490
