Measuring Departure from Gaussian Assumptions in Spatial Processes

  • D. Posa
  • M. Rossi
Conference paper

Abstract

In this paper entropy is presented as an alternative measure to characterize the Divariate distribution of a stationary spatial process. This non-parametric estimator attempts to quantify the concept of spatial ordering, and it provides a measure of how gaussian the experimental bivariate distribution is.

The concept of entropy is explained and the classical definition presented. In particular, the reader is reminded that, for a known mean and covariance, the bivariate gaussian distribution maximizes entropy. A “relative entropy” estimator is introduced in order to measure departure of an experimental bivariate distribution from the bivariate gaussian.

Keywords

Entropy Covariance Fluor Kriging 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • D. Posa
    • 1
    • 2
  • M. Rossi
    • 1
    • 2
  1. 1.Dipartimento di Matematica, Campus UniversitarioIRMA-CNRBariItaly
  2. 2.Fluor Daniel, Inc.Redwood CityUSA

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