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dc.contributor.authorO'Donoghue, Peter
dc.date.accessioned2013-06-12T10:39:46Z
dc.date.available2013-06-12T10:39:46Z
dc.date.issued2008
dc.identifier.citationO'Donoghue, P. (2008) 'Principal components analysis in the selection of key performance indicators in sport', International Journal of Performance Analysis in Sport, 8(3), pp.145-155en_US
dc.identifier.issn1474-8185
dc.identifier.urihttp://www.ingentaconnect.com/content/uwic/ujpa/2008/00000008/00000003/art00015
dc.identifier.urihttp://hdl.handle.net/10369/4300
dc.description.abstractPrincipal components analysis is a data reduction technique that can be used within the process of identifying key performance indicators for sports analysis systems, especially real-time systems. The smaller set of critical performance indicators is associated with action variables that it is possible to enter into a match analysis system in real-time. A further possible application of principal components analysis is to identify higher order performance indicators based on combinations of related performance indicators. These higher order performance indicators allow the feedback provided to players to be more concise avoiding the presentation of redundant information.
dc.language.isoenen_US
dc.relation.ispartofseriesInternational Journal of Performance Analysis in Sport;
dc.subjectperformance indicatorsen_US
dc.subjecttennisen_US
dc.titlePrincipal components analysis in the selection of key performanceen_US
dc.typeArticleen_US


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