Maybe I'm getting old...there was something wrong also in the past mail!
Please consider this one.
Sorry for the wrong mails.
Dear list members
I'm always fighting with the decomposition of trend and residuals or
more generally I need to decompose
my signal in high and low frequency
Dear Seba,
As far as I know, the shape of the kernel is not that important. Any
kernel will yield approximately the same results as long as the scaling
parameters (bandwidth) are equivalent. There are some theoretical as
well as practical reasons for choosing finite (compact) kernels - the
Hi José
Thank you for your reply.
Effectively I'm trying to figure out the theoretical reasons for their use.
Bye
Sebas
At 12.30 01/02/2010, José M. Blanco Moreno wrote:
Dear Seba,
As far as I know, the shape of the kernel is not
that important. Any kernel will yield
approximately the same
Hi José
Thank you for the interesting references. I'm going to give a look!
Bye
Sebastiano
At 15.46 01/02/2010, José M. Blanco Moreno wrote:
Hello again,
I am not a mathematician, so I never worried too
much on the theoretical reasons. You may be able
to find some discussion on this subject
Yes you can.
Look at my paper http://home.comcast.net/~pgoovaerts/BIOFERTarticle.pdf
Fig. 14, right column. The EC local component is the nuggt effect component
and the
graph below shows the transect of electrical conductivity values after
filtering
of that microscale component. You can find other
Goovaerts, regarding the factorial kriging you mentioned below...is it possible
to filter the micro component (nugget effect) from our spatial model? Because
the magnitude of nugget effect is related to the magnitude of variance error as
well.
Thank you.
Regards,---
M. Nur
