Hi R,
I have a vector with all positive values and have fit the GEV
distribution (shape parameter=0) to the data and I get the negative
value of the location parameter. Is this possible?
library(evd)
r=read.table("clipboard",header=F)[,1]
> length(r)
[1] 2087
> sum(r>=0) #All data points are positive
[1] 2087
> sum(r>=1000000) #All data points are positive
[1] 2087
Now,
> fgev_fit=fgev(r,std.err = FALSE)
> fgev_fit
Call: fgev(x = r, std.err = FALSE)
Deviance: 82397.2
Estimates
loc scale shape
-1.977e+07 1.141e+08 1.555e-02
Optimization Information
Convergence: successful
Function Evaluations: 30
Gradient Evaluations: 5
When all the values in the data are positive, how can the location
parameter of the fit be negative? Or is it something to do with the
large deviation? Please let me know, whether my assumptions are correct.
Thanks and Regards,
Shubha Karanth
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