Sorry I meant I am trying to gain, a better understanding
of the derivation of the estimation variance used for the kriging
equations. I understand the derivation is based on a number of 
assumptions, which I am trying to understand the effect of these
assumptions. e.g. using mean values, unbiassedness etc. I am
reading Chapter 10 of Isobels book, which seems to be the greatest
help.

Regards Digby

-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf
Of Digby Millikan
Sent: Friday, 15 September 2006 5:58 PM
To: 'Gerald van den Boogaart'
Cc: AI Geostats mailing list
Subject: RE: AI-GEOSTATS: Variograms

Thanks,

 I am still trying to gain a deeper understanding of the derivation
of kriging variance, which I have not fully grasped, which is based
on using mean variogram values, and was curious as to weather other
values could be used or only the mean was appropriate.



schrieb Digby Millikan:

> Variograms represent only mean square differences, is this a major
> shortcoming of geostatistics?



Is it a shortcoming of the mean to represent only average values? And is
this 
a major shortcoming of statistics or of math?

No, it is the aim of the mean to represent that and the mean is a tool of 
statistics for this purpose. 
 
Prof. Dr. K. Gerald v.d. Boogaart

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