Thanks for the helpful responses.
I opted to use this estimator for model parameters because after detrending
my data, the residuals gave almost an identical semivariogram to that of the
sample data. So I concluded that universal kriging was probably not the
best way to go.
I checked out Ed Isaaks page about the correlogram and Issaks and Srivastava
for the non-erg cov. formula. I would prob. use a correlogram except that
I'm dealing with that pesky Variowin floating point error.
Thanks!
-Sara
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