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[ai-geostats] standardized cross validation errors

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  • ercan yesilirmak
    Dear list members Standardized cross validation error is obtained by dividing the difference between an observed value and its kriging prediction value by
    Message 1 of 1 , Aug 5, 2005
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      Dear list members

      Standardized cross validation error is obtained by dividing the
      difference between an observed value and its kriging prediction value by standard
      deviation of corresponding kriging prediction.

      It is expected that mean and variance of standardized cross validation
      errors should be close to zero and one, respectively.

      How close should those statistics be to zero and one?

      Is it a usual way to test statistically these closeness?

      regards
      Ercan


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