Fitting Variogram Models by Weighted Least Squares 1

  title={Fitting Variogram Models by Weighted Least Squares 1},
  author={Noe l Cress},
  • Noe l Cress
  • Published 2004
The method o f weighted least squares is shown to be an appropriate way o f fi t t ing variogram models. The weighting scheme automatically gives most weight to early lags and downweights those lags with a small number o f pairs. Although weights are derived assuming the data are Gaussian (normal), they are shown to be still appropriate in the setting where data are a (smooth) transform o f the Gaussian case. The method o f (iterated) generalized least squares, which takes into account… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 14 references

Towards resistant geostatistics, in G. Verley et al. (Eds.) Geostatistics for natural resources characterization: Dordrecht, Reidel

  • N.A.C. Cressie
  • 1984
Highly Influential
7 Excerpts

Straight line fitting and variogram estimation (with discussion)

  • N.A.C. Cressie
  • Bull. Inter. Stat. Inst.,
  • 1979
Highly Influential
9 Excerpts

Mining geostatistics: London

  • A. 73-101. Journel, C. Huijbregts
  • 1978
Highly Influential
4 Excerpts

The theory of regionalized variables and its applications: Cahiers du

  • G. Matheron
  • Supplement: v
  • 1963
Highly Influential
4 Excerpts

Improving the estimation and modelling of the variogram, in G. Verly et al. (Eds.) Geostatistics for natural resources

  • M. Armstrong
  • 1984
Highly Influential
4 Excerpts

Robust estimation of the variogram: Your

  • N.A.C. Cressie, D. M. Hawkins
  • Inter. Assoc. Math. Geol., v
  • 1980
Highly Influential
4 Excerpts

Median based covariogram estimators reduce bias: Star

  • N.A.C. Cressie, G. Glonek
  • Prob. Lett., v
  • 1984
2 Excerpts

1982b, The effect of drift on the experimental semi-variogram: Jour

  • T. Starks, J. Fang
  • Jour. Inter. Assoc. Math. Geol.,
  • 1982
1 Excerpt

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