Thank you for reply but I wanted to understand it in a pure formal mathematical
framework...
Simone
> The variogram is only the difference between the absolute values of the
> grade, so if you
> subtract the mean from every z(x), you will still have the same variogram?
>
> - Original Message
It seems interesting...
Unfortunately I have to write my PhD thesis now and I'm proceeding methodically
from the beginning...
I'll contact you again when I'll speak about simulations...:-)
Thank you
Simone
> Simone,
>
> I was curious about the averaging of samples to produce each variogram
> val
Dear all
it's me again
Intrinsic hypothesis is different from second order one mainly because in the
first case covariance function does not exist and variogram is computed instead
of it
My question is...
How to realize about non stationarity of my variable?...
ok...I can take a look at the s
Simone
Under the intrinsic hypothesis you can have a semi-variogram (bounded or unbounded) if the data is non-stationary.
Generally we assume a stationary mean when calculating a semi-variogram to simplify the calculation. If the mean is not stationary, you have to include a drift or 'trend'
Title: Software
Dear all,
I was allowing in the past to have freeware announced directly to the list.
Because of the fuzzy boundaries between freeware, shareware and software, I will ask you not to make any announcement about new tools to the list but to send the information to me (this
