Well, Simone in my Ph.D thesis (available online, see geostatistics in other language on ai-geostats web site)I tried to explain it in a simple way... Bye S. Trevisani Scrive Simone Sammartino <[EMAIL PROTECTED]>:
> Dear all > about Irf-k... > I can't understand the link between the two approach explaining the > Irf-k theory... > 1st approach: > The Irf-k approach is based on a generalization of the intrinsic model, > in which the coefficients of the combination of the variables in the X > points are such that the combination of monomials of the variables > (computed with such coefficients) is zero mean and second order > stationary. In the intrinsic model the coefficients are 1 and -1 and the > linear combination of the variables with such coefficients (the > increment) is second order stationary. Now...how to insert the > generalized covariance in this speech?... > 2nd approach: > The non stationary random function is seen as the sum of a trend and a > residual (as in UK?!)...such trend is the linear combination of > monomials of the variables (as in UK?!) with the said coefficients. And > the generalized covariance? > Reassuming...I did not understand the Irf-K theory... > Someone can explain it to me? or suggest some clear refer? > Thank you > Simone > > > ----------------------------- > Dr. Simone Sammartino > PhD student > - Geostatistical analyst > - G.I.S. mapping > I.A.M.C. - C.N.R. > Geomare-Sud section > Port of Naples - Naples > [EMAIL PROTECTED] > ----------------------------- > > > > ____________________________________________________________ > 6X velocizzare la tua navigazione a 56k? 6X Web Accelerator di Libero! > Scaricalo su INTERNET GRATIS 6X http://www.libero.it > > > > ------------------------------------------------- This mail sent through IMP: webmail.unipd.it
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