Displaying 2 results from an estimated 2 matches for "6.196".
Did you mean:
6.16
2011 Jun 01
3
Zero-inflated regression models: predicting no 0s
Hi all,
First post for me here, but I have been reading on the forum for almost two
years now. Thanks to everyone who contributed btw!
I have a dataset of 4000 observations of count of a mammal and I am trying
to predict abundance from a inflated-zero model as there is quite a bit of
zeros in the response variable.
I have tried multiple options, but I might do something wrong as every
2008 Sep 27
10
FW: logistic regression
Sorry.
Let me try again then.
I am trying to find "significant" predictors" from a list of about 44
independent variables. So I started with all 44 variables and ran
drop1(sep22lr, test="Chisq")... and then dropped the highest p value from
the run. Then I reran the drop1.
Model:
MIN_Mstocked ~ ORG_CODE + BECLBL08 + PEM_SScat + SOIL_MST_1 +
SOIL_NUTR + cE + cN +