How about using the prediction accuracy or ROC curve if you have validation
data set?




On Wed, Mar 16, 2011 at 11:42 AM, Alexx Hardt <mikrowelle1234@gmx.de> wrote:

> Am 16.03.2011 19:34, schrieb Anna Gretschel:
>
>> Am 16.03.2011 19:21, schrieb Alexx Hardt:
>>
>> And to be on-topic: Anna, as far as I know anova's are only useful to
>>> compare a submodel (e.g. with one less regressor) to another model.
>>>
>>> thanks! i don't get it either what they mean by fortune...
>>
>
> It's an R-package (and a pdf [1]) with collected quotes from the mailing
> list.
> Be careful with the suggestion to use AIC. If you wanted to compare two
> models using AICs, you need the same distribution (that is,
> Verteilungsannahme) in both models.
> To my knowledge, there is no way to "compare" a gaussian model to an
> exponential one (except common sense), but my knowledge is very limited.
>
> [1] http://cran.r-project.org/web/packages/fortunes/vignettes/fortunes.pdf
>
>
> --
> alexx@alexx-fett:~$ vi .emacs
>
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-- 
Sincerely,
Changbin
--

Changbin Du
DOE Joint Genome Institute
Bldg 400 Rm 457
2800 Mitchell Dr
Walnut Creet, CA 94598

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