[R] residuals interpretation in logit lodel
ripley@stats.ox.ac.uk
ripley at stats.ox.ac.uk
Thu Jun 20 14:58:41 CEST 2002
Residuals for binomial models are quite tricky. See
@InCollection{Davison.Snell.91,
author = "A. C. Davison and E. J. Snell",
title = "Residuals and diagnostics",
crossref = "Hinkley.ZZ.91",
chapter = "4",
year = "1991",
comment = "Reference from MASS",
}
@Book{Hinkley.ZZ.91,
editor = "D. V. Hinkley and N. Reid and E. J. Snell",
booktitle = "Statistical Theory and Modelling. In Honour of Sir David
Cox, {FRS}",
title = "Statistical Theory and Modelling. In Honour of Sir David
Cox, {FRS}",
publisher = "Chapman \& Hall",
address = "London",
year = "1991",
comment = "Reference from MASS",
}
On Thu, 20 Jun 2002, Robert Espesser wrote:
> I'm a bit confused with the residuals in a logit model.
>
> a) the standardized deviance residual distribution of my model is not
> close to the normal; it is rather "bimodal",
> with a gap around 0. The variables I use do not look so strange, so
> what does it mean ??
>
> b) For what use is the "response type" residual for a binomial model ?
> Is there any sense to filtered out the "extreme" values of the
> "response type" residual ?
>
> (On the other hand, I'm already using glm.diag, glm.diag.plots,
> etc...).
>
> Thanks for help.
> --
> Robert Espesser
> Laboratoire Parole et Langage UMR 6057, CNRS
> 29 Av. Robert Schuman 13621 AIX (FRANCE)
> Tel: +33 (0)4 42 95 36 26 Fax: +33 (0)4 42 59 50 96
> http://www.lpl.univ-aix.fr/~espesser
> mailto:Robert.Espesser at lpl.univ-aix.fr
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--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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