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Regression methods for spatial dataThe kriging approach, a parametric regression method used by hydrologists and mining engineers, among others also provides an error estimate the integral of the regression function. The kriging method is explored and some of its statistical characteristics are described. The Watson method and theory are extended so that the kriging features are displayed. Theoretical and computational comparisons of the kriging and Watson approaches are offered.
Document ID
19830007516
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Yakowitz, S. J. (Arizona Univ. Tucson, AZ, United States)
Szidarovszky, F. (Arizona Univ. Tucson, AZ, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1982
Publication Information
Publication: Texas A and M Univ. Proc. of the NASA Workshop on Density Estimation and Function Smoothing
Subject Category
Earth Resources And Remote Sensing
Accession Number
83N15787
Funding Number(s)
CONTRACT_GRANT: NSF CME-79-05010
CONTRACT_GRANT: NSF ENG-78-07358
CONTRACT_GRANT: NSF ENG-76-20280
CONTRACT_GRANT: NSF ENG-78-12184
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19830007503Collected WorksProceedings of the NASA Workshop on Density Estimation and Function Smoothing
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