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2002RE: [ai-geostats] How can I measure the difference between 2 models?

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  • Geoff Henebry
    Apr 20, 2005

      Here’s a slightly different question: It is standard practice to test for significant differences in the parameter coefficient estimates to determine “difference” between alternative models?

      Thus, if one or more of the coefficients are significantly different, then the models are deemed different.

      This question arises from wanting to test for changes in spatial and/or temporal patterns in image time series.

      Cheers, Geoff

      Geoffrey M. Henebry, Ph.D., C.S.E.
      Collaboratory for Ecological Remote Sensing, Modeling, and Analysis (CERSMA)
      Center for Advanced Land Management Information Technologies (CALMIT)
      School of Natural Resources
      University of Nebraska-Lincoln
      102 E. Nebraska Hall
      Lincoln, NE 68588-0517 USA
      voice: 402-472-6158 (-4608 fax)
      email: ghenebry@...

      From: Digby Millikan [mailto:digbym@...]
      Sent: Wednesday, April 20, 2005 2:48 AM
      To: ai-geostats; Lee Sung Soo
      Subject: Re: [ai-geostats] How can I measure the difference between 2 models?


       Is you model 2 or 3 dimensional what about a map of the errors? Also general statisitics

      of the populations, e.g. varaiance, coefficient of variation etc. Grade tonnage plot is a good



      Regards Digby

      ----- Original Message -----

      Sent: Thursday, April 14, 2005 4:40 PM

      Subject: [ai-geostats] How can I measure the difference between 2 models?


      Hello everyone,

      I apologize if this question is too elementary for this list;

      The problem is how to quantify and represent the difference between
      standard model and simulated model. I tried to use a tonnage and
      grade mean value difference by cut-off grade in order to compare
      and quantify some risks between models.
      But I think there are some limitations to express the variations related to the grade
      distribution, although this analysis is popular and common.

      For instance, please see below figure.

      Standard model(A)
      *  55        90 *
      *                  *
      *                  *
      *  10        45 *

      Simulated model(B)
      *  90        45 *
      *                  *
      *                  *
      *  55       10  *

      The mean values of two block models show exact same and look very
      similar. But the grade distribution is pretty different.
      To express the difference and variabilities, some more various ways
      are required. How can I measure the difference between 2 models.

      Would you give me a advice or ways about quantifying the difference
      between two models. And if available, would you introduce me
      reference papers or internet site.


      Best regards,

      Lee Sung Soo
      Master student(University of WA)

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