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*To*: <asreml@chiswick.anprod.csiro.au>*Subject*: RE: R-square statistic*From*: "N.W. Galwey" <ngalwey@cyllene.uwa.edu.au>*Date*: Tue, 8 Aug 2000 17:56:18 +0800*In-Reply-To*: <Pine.GSO.4.10.10008070747470.15226-100000@staff2.cso.uiuc.edu>*Sender*: asreml-owner@lamb.chiswick.anprod.csiro.au

Bruce Southey wrote: > Sent: Monday, August 07, 2000 9:23 PM > Subject: Re: R-square statistic > Note that the residual variance is a bad criterion as the log(y) produces > a smaller residual than the untransformed value - it does not mean that > the model fits any better. I think this is a bit of a red herring. Provided that one sticks to the same vector of y-values, surely MS(Resid) is quite a good indicator of the relative goodness-of-fit of any two models? With the caveat that it only leads to a FORMAL comparison (test of significance) in certain circumstances (e.g. both models linear, one a sub-model of the other, i.e. the ANOVA situation). Nick Galwey _____________________________________________________________________ N.W. Galwey, Faculty of Agriculture, University of Western Australia, Nedlands, WA 6907, Australia. Tel.: +61 89 380 1959 (direct line) +61 89 380 2554 (switchboard) Fax: +61 89 380 1108 -- Asreml mailinglist archive: http://www.chiswick.anprod.csiro.au/lists/asreml

**References**:**Re: R-square statistic***From:*<southey@ux1.cso.uiuc.edu>

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