Hi,
Just to add to that Gotway and cressie I can't remember the exact citation
did a large simulation study and showed that the bias from using the
residual variogram is very small in most cases.

Nicholas

On Fri, 7 Dec 2001 [EMAIL PROTECTED] wrote:

> 
> On Friday, December 7, 2001, at 10:05  AM, Andreas Hartmann wrote:
> >
> > How do I compute the residual semivariogramm when I don't know the
> > residuals? Or have I misunderstood something in the concept of external
> > drift?
>       
> There is a nice section (Chapter 5.4) in Cressie's textbook (Statistics 
> for
> Spatial Data) that discusses the potential bias of estimating
> semivariograms from residuals and Matheron's formulation of
> IRF-K kriging as an alternative means to krige in the presence of
> a trend. The iterative fitting of the covariance is usually 
> non-graphical,
> which is a drawback in itself, and Fig. 5.1 in the same section shows
> Cressie's bold attempt at showing the pitfalls of doing such an
> "automatic" fit. I have not used IRF-K kriging very much in practice,
> for the above reasons. Better to live with the devil that I know, i.e.
> my -- albeit biased -- residual variogram.
> 
> Regards,
> 
> Syed
> 
> 
> 
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                 CH3
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                  N             Nicholas Lewin-Koh
                 / \            Dept of Statistics
           N----C   C==O        Program in Ecology and Evolutionary Biology
          ||   ||   |           Iowa State University
          ||   ||   |           Ames, IA 50011
          CH    C   N--CH3      http://www.public.iastate.edu/~nlewin
            \  / \ /            [EMAIL PROTECTED]
             N    C
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            CH3   O             Graphics Lab
                                School of Computing
                                National University of Singapore
     The Real Part of Coffee    [EMAIL PROTECTED]


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