The influence of outliers on a model for the estimation of crossbreeding parameters for weaning weight in a beef cattle herd

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dc.contributor.authorAziz M.A.
dc.contributor.authorSchoeman S.J.
dc.contributor.authorJordaan G.F.
dc.date.accessioned2011-05-15T15:54:43Z
dc.date.available2011-05-15T15:54:43Z
dc.date.issued2002
dc.description.abstractData on 17348 weaning weight records from a beef cattle crossbreeding operation were used to determine the effect of outliers on regression coefficients. Different criteria were used for detecting potential influential points. Eliminating a small number (932 or 5.4%) influential points resulted in the improvement of the model fitted. The R2 values increased from 41% to 49% while the mean square error was reduced from 672.9 to 500.4. The use of diagnostic statistics for detecting influential observations is recommended before any analysis is performed. © South African Society for Animal Science.
dc.description.versionArticle
dc.identifier.citationSouth African Journal of Animal Sciences
dc.identifier.citation32
dc.identifier.citation3
dc.identifier.issn3751589
dc.identifier.urihttp://hdl.handle.net/10019.1/9363
dc.subjectBos taurus
dc.titleThe influence of outliers on a model for the estimation of crossbreeding parameters for weaning weight in a beef cattle herd
dc.typeArticle
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