Skip to main content
Log in

Abstract

The indicator approach, whereby the data are used through their rank order, allows a nonparametric approach to the data bivariate distribution. Such rich structural information allows a nonparametric risk-qualified, estimation of local and global spatial distributions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abramovitz, M. and Stegun, I., 1965, Handbook of mathematical functions: Dover Publishers, New York, 1046 p.

    Google Scholar 

  • Journel, A. and Huijbregts, Ch., 1978, Mining geostatistics: Academic Press, London, 600 p.

    Google Scholar 

  • Matheron, G., 1975, A simple substitute for conditional expectation: Disjunctive kriging (p. 221–236),in Guarascio et al. (Eds.) Geostat 1975, NATO ASI: Reidel Publ. Co., Dordrecht, Netherlands.

    Google Scholar 

  • Switzer, P., 1977, Estimation of distribution functions from correlated data: Bull. Inter. Stat. Inst., v. XLVII no. 2, p. 123–137.

    Google Scholar 

  • Verly, G., 1983, The multi-Gaussian approach and its applications to the estimation of local recoveries,in Proceedings of the MGUS Conference, Denver, January 1982: Jour. Math. Geology, v. 15, no. 2, p. 263–290.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Journel, A.G. Nonparametric estimation of spatial distributions. Mathematical Geology 15, 445–468 (1983). https://doi.org/10.1007/BF01031292

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01031292

Key words

Navigation