Comparison of disjunctive kriging to generalized probability kriging in application to the estimation of simulated and real data
- Nevada Univ., Reno, NV (United States). Dept. of Geological Sciences
- Lawrence Livermore National Lab., CA (United States)
Disjunctive kriging has been compared previously to multigaussian kriging and indicator cokriging for estimation of cumulative distribution functions; it has yet to be compared extensively to probability kriging. Herein, disjunctive kriging and generalized probability kriging are applied to one real and one simulated data set and compared for estimation of the cumulative distribution functions. Generalized probability kriging is an extension, based on generalized cokriging theory, of simple probability kriging for the estimation of the indicator and uniform transforms at each cutoff, Z{sub k}. The disjunctive kriging and the generalized probability kriging give similar results for simulated data of normal distribution, but differ considerably for real data set with non-normal distribution.
- Research Organization:
- Lawrence Livermore National Lab., CA (United States)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 5129718
- Report Number(s):
- UCRL-JC-107479; CONF-920976-1; ON: DE92008932
- Resource Relation:
- Conference: 4. international geostatistics congress, Troia (Portugal), 13-18 Sep 1992
- Country of Publication:
- United States
- Language:
- English
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