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RE: AI-GEOSTATS: Geostatistics and likelihood

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  • Din Chen
    I think the SAS procedure proc mixed can do all of these. ... From: Ruben Roa Ureta [mailto:rroa@udec.cl] Sent: Thursday, October 30, 2003 3:24 PM To:
    Message 1 of 2 , Nov 3, 2003
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      I think the SAS procedure "proc mixed" can do all of these.

      -----Original Message-----
      From: Ruben Roa Ureta [mailto:rroa@...]
      Sent: Thursday, October 30, 2003 3:24 PM
      To: ai-geostats@...
      Subject: AI-GEOSTATS: Geostatistics and likelihood


      Hi people:
      I am looking for information (journal papers, reports, etc) about the
      maximum likelihood estimation of variogram parameters and the total of a
      single variable over the spatial field. My final purpose is to produce
      profile likelihood plots of fish biomass. I know there is PhD thesis by
      Matern which seems to have been published as a lecture note in
      biomathematics, and that work is not available to me in my location. There
      is a theoretical variogram called the Matern variogram, which is presented
      as a theoretically sound version of the variogram, as compared to
      'curve-fitting' variograms (spherical, Gaussian, etc) fitted by various
      forms of least-squares. I am specially interested in the derivation of
      Matern variogram from first principles. I have some papers by Diggle,
      Ribeiro and colleagues, in Conference proceedings and applied statistics
      journals but i have not found anything in theoretically-inclined
      statistical journals or in the web (apart from the material on GeoR. I am
      planning to implement this approach in GeoR). Thanks for any help on this.
      Rubén

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