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RECORD NUMBER: 26 OF 104

OLS Field Name OLS Field Data
Main Title Disjunctive kriging 3. Cokriging /
Author Yates, S. R.
Publisher Environmental Protection Agency
Year Published 1986
Report Number EPA-600-J-86-232
Stock Number PB87-166260
OCLC Number 61164509
Subjects Kriging.
Additional Subjects Soil water ; Random functions ; Moisture content ; Soil properties ; Temperature ; Estimates ; Reprints ; Kriging ; Disjunctive kriging method
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=9100FW4O.PDF
Holdings
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Status
EJBD ARCHIVE EPA 600-J-86-232 Headquarters Library/Washington,DC 02/27/2012
NTIS  PB87-166260 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/21/1988
Collation i, [6] p. : ill., charts ; 28 cm.
Abstract
The disjunctive kriging (DK) method described in the first paper of this series is extended to account for more than one random function. In the derivation contained herein, two random functions are considered, but this is easily generalized to any number. An example is presented using disjunctive cokriging (DCK) where the surface gravimetric moisture content is estimated using the bare soil temperature as an auxiliary random function. The results indicate that the DCK procedure produces a better estimator than ordinary cokriging in terms of reduced variance of errors and exactness of estimation. Also, using DCK, an estimate of the conditional probability that the level of a property is greater than a known cutoff value can be obtained. (Copyright (c) 1986 by the American Geophysical Union.)
Notes
"PB87-166260." Water Resources Research, Vol. 22, No. 10, Pages 1371-1376, September 1986. Includes Bibliographical References. "The disjunctive kriging (DK) method described in the first paper of this series is extended to account for more than one random function. In the derivation contained herein, two random functions are considered, but this is easily generalized to any number. An example is presented using disjunctive cokriging (DCK) where the surface gravimetric moisture content is estimated using the bare soil temperature as an auxiliary random function. The results indicate that the DCK procedure produces a better estimator than ordinary cokriging in terms of reduced variance of errors and exactness of estimation. Also, using DCK, an estimate of the conditional probability that the level of a property is greater than a known cutoff value can be obtained."