Dear Mehari Tekeste,

Kriging with a pure nugget model is about the same as predicting everywhere
with the mean of the observations, which is probably the best you can do if
there is no spatial correlation and no further information. The kriging error
i.e. the prediction variance will be (1+1/n)C_0, which is the same as an
ordinary prediction variance. Whether or not this is a good prediction 
depends on your problem and the actual value of C_0.

Best regards,
Gerald v.d. Boogaart

Am Dienstag, 2. Januar 2007 04:53 schrieb Mehari Tekeste:
> Can I get some suggestion on this issue?
> 
> How good is estimation using kriging system that uses a nugget model? I 
> have a geodata and the semi-variogram was best fit using a nugget model 
> (with semi-variance=C_0; where C_o is a nugget for all h (lag distance) 
> values.
> 
> Thanks.
> 
> Mehari Z. Tekeste, Ph.D.
> Research Scientist
> Department of Agriculture
> Western Kentucky University
> 1906 College Heights Blvd. #41066
> Bowling Green, KY 42101-1066
> Phone: 270-745-5972
> Fax: 270 745 5972
> 
> "And God said, Let us make man in our image, after our likeness: and 
> let them have authority over the fish of the sea, and over the fowl of 
> the air, and over the cattle, and over all the earth, and over every 
> creeping thing that creepeth upon the earth." Genesis 1: 26. 
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-- 
-------------------------------------------------
Prof. Dr. K. Gerald v.d. Boogaart
Professor als Juniorprofessor fuer Statistik
http://www.math-inf.uni-greifswald.de/statistik/  

B�ro: Franz-Mehring-Str. 48, 1.Etage rechts
e-mail: [EMAIL PROTECTED]
phone:  00+49 (0)3834/86-4621
fax:    00+49 (0)3834/86-4615   (Institut)

paper-mail:
Ernst-Moritz-Arndt-Universitaet Greifswald
Institut f�r Mathematik und Informatik
Jahnstr. 15a
17487 Greifswald
Germany
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