[R] Generalized linear models (GLM)
mathallan
mathanmath at gmail.com
Tue Apr 28 20:38:28 CEST 2009
Actually both max.loss and loss are known values (in dollars). I'm very much
doubt, what to choose.
glm(max.loss~loss,family=gaussian(link="identity")
or
glm(formula = sum ~ claims * as.factor(grp), family = gaussian(link =
"identity"))
or
glm(loss~max.loss,family=gaussian(link="identity")
we have to look at gaussian and gamma, with link identity and log.
But my problem is what is going to be between the ~
David Winsemius wrote:
>
> I think you are off-track because max.loss does not sound like a
> proper Y variable. Because max.loss is an amount that is known, in the
> insurance applications I have seen it would have been modeled within
> an offset term. Many of the examples have used number of ships or
> buildings or the person years of exposure but I do not see that the
> general strategy is limited to only such considerations.
>
> I would also suggest that you consider links other than Gaussian,
> perhaps negative binomial.
>
> The task for the analyst is then to translate output from the chosen
> model into interpretable meaning on the scale of interest, but I
> assume your course instructor will help with that.
>
> --
> David Winsemius
> On Apr 28, 2009, at 11:34 AM, mathallan wrote:
>
>>
>> Hi
>>
>> I got a dataset
>>
>> loss max.loss grp
>> 1 10 50 2
>> 2 15 33 1
>> 3 18 49 2
>> 4 33 38 1
>> 5 8 50 3
>> 6 19 29 1
>> 7 22 51 4
>> 8 50 50 2
>> 9 16 38 1
>> 10 24 30 3
>>
>> were loss and max.loss are monetary values (in dollar). Grp is group
>> number.
>>
>> By use of GLM, I have to determine the effect of max.loss and grp (and
>> interactions between them) on loss. My question is how to do this.
>>
>> Is it something like
>>
>> glm(max.loss~loss,family=gaussian(link="identity")
>>
>> were ofcourse I can change gaussian with Gamma,... and link with
>> log,...
>>
>> But am I on right track, or what should I change?
>>
>>
>> Thanks
>> --
>> View this message in context:
>> http://www.nabble.com/Generalized-linear-models-%28GLM%29-tp23279588p23279588.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
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>
> David Winsemius, MD
> Heritage Laboratories
> West Hartford, CT
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
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