[R] Re : Problems with generalized linear model (glm) coefficients.
kridox at ymail.com
Wed Mar 7 14:57:02 CET 2012
Do you apply your analysis in time or in space?
----- Mail original -----
De : Lucas <lpchaparrovio at gmail.com>
À : r-help at r-project.org
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.
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