Hi, I would assume x_se_EDF is calculated with the effective degree of
freedom, while x_se is calculated with the common sense degree of
freedom (number of cases minus number of variables minus one). In any
cases, the effective degree of freedom shall be used in GWR estimation
since that is the "actual (effective)" degree of freedom in estimation.
I hope this helps.
Danlin
On 2015/7/14 23:37, Apostolos Tsimpanos wrote:
Dear List
I have a simple question about the estimated standard errors obtained from
the gwr command in SPGWR package. I run a GWR regression y~x
GWRmodel<-gwr(y~x,coords=cbind(XCOO,YCOO),bandwidth=gfixcvsel,gweight=gwr.bi
square,hatmatrix=TRUE,se.fit=TRUE,se.fit.CCT=TRUE)
In the data frame
GWRmodel$SDF
there are two estimated standard errors for the x coefficients denoted as
x_se and x_se_EDF.
What is the difference between x_se and x_se_EDF and what is the best for
use, the former or the latter? The manual lacks information about this.
If I am not confused I think that the difference should be in the
approximation of hat matrix that is x_se uses s^2 with approximation
whereas x_se_EDF not.
I would appreciate any help.
Thanks in advance
Apostolis
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