• DocumentCode
    3763558
  • 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
  • fYear
    2015
  • Firstpage
    378
  • Lastpage
    379
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIIBMS.2015.7439490
  • Filename
    7439490
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3763558