id: 06639043
dt: j
an: 2016f.01301
au: Manage, Ananda B.W.; Scariano, Stephen M.
ti: An introductory application of principal components to cricket data.
so: J. Stat. Educ. 21, No. 3, 22 p., electronic only (2013).
py: 2013
pu: Taylor \& Francis, Abingdon, Oxfordshire; American Statistical Association
    (ASA), Alexandria, VA
la: EN
cc: K85 K95 M95
ut: stochastics; university teaching; applied statistics; multivariate
    statistics; sports data; performance analysis; principal components;
    cricket performance; batting performance; bowling performance;
    correlation structure; sample correlation matrix;
    eigenvalue-eigenvector pairs
ci: 
li: http://ww2.amstat.org/publications/jse/v21n3/scariano.pdf
ab: Summary: Principal Component Analysis is widely used in applied
    multivariate data analysis, and this article shows how to motivate
    student interest in this topic using cricket sports data. Here,
    principal component analysis is successfully used to rank the cricket
    batsmen and bowlers who played in the 2012 Indian Premier League (IPL)
    competition. In particular, the first principal component is seen to
    explain a substantial portion of the variation in a linear combination
    of some commonly used measures of cricket prowess. This application
    provides an excellent, elementary introduction to the topic of
    principal component analysis.
rv: