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Kriging without negative weights

Journal Article · · Math. Geol.; (United States)
DOI:https://doi.org/10.1007/BF00896920· OSTI ID:5269350
Under a constant drift, the linear kriging estimator is considered as a weighted average of n available sample values. Kriging weights are determined such that the estimator is unbiased and optimal. To meet these requirements, negative kriging weights are sometimes found. Use of negative weights can produce negative block grades, which makes no practical sense. In some applications, all kriging weights may be required to be nonnegative. In this paper, a derivation of a set of nonlinear equations with the nonnegative constraint is presented. A numerical algorithm also is developed for the solution of the new set of kriging equations.
Research Organization:
Karl Max Univ. of Economics, Budapest (Hungary)
OSTI ID:
5269350
Journal Information:
Math. Geol.; (United States), Journal Name: Math. Geol.; (United States) Vol. 19:6; ISSN MATGE
Country of Publication:
United States
Language:
English