Hi Pascal.

I applied my analysis in time. I have 25 fire seasons, each season starts
on November and ends up on April (our summer), so I have used them as
independent observations. I know that assumption it could be wrong, but is
the only way I can use the information available.


Thank you.

2012/3/7 Pascal Oettli <kri...@ymail.com>

> Hi Lucas,
>
> Do you apply your analysis in time or in space?
>
> Regards,
> Pascal
>
>
>
> ----- Mail original -----
> De : Lucas <lpchaparro...@gmail.com>
> À : r-help@r-project.org
> Cc :
> Envoyé le : Mercredi 7 mars 2012 22h34
> Objet : [R] Problems with generalized linear model (glm) coefficients.
>
> Hello to everyone.
>
> I´m writing you because I´m feeling a bit frustrated with my work.
>
> My work consists in finding  the relation between the amount of fires and
> the weather, so, my response variable is the amount of fires in a fire
> season and the explanatory variables are the temperature, the amount of
> precipitation and the some others…. my problem is this; I keep getting the
> wrong sign in the coefficients estimated, I get a negative sign for
> temperature and a positive sign for precipitation, which is unreasonable,
> the greater the temperature I would expect more fire, on the contrary, the
> greater the precipitation I would expect less fires.  So far I have deal
> with overdispersion, multicollinearity  and the amount of zeroes through
> passing from Poisson to Negative Binomial and Hurdle.  I believe I have
> used all my options and still have the wrong signs on my coefficients.
>
> Do I have more options? What does it mean that I keep getting those signs?
>
> If anyone could help me I would really appreciate it.
>
> Thank you.
>
>
> Lucas.
>
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>
>
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