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Kriging With Nonparametric Variance Function Estimation

Author

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  • Jean D. Opsomer
  • D. Ruppert
  • M. P. Wand
  • U. Holst
  • O. Hussjer

Abstract

The authors propose a method for fitting regression models to data that exhibit spatial correlation and heteroskedasticity. A combination of parametric and nonparametric regression techniques is used to iteratively estimate the various components of the model. The approach is demonstrated on a large dataset of predicted nitrogen runoff statistics from agricultural land in the Midwest and Northern Plains.

Suggested Citation

  • Jean D. Opsomer & D. Ruppert & M. P. Wand & U. Holst & O. Hussjer, 1998. "Kriging With Nonparametric Variance Function Estimation," Center for Agricultural and Rural Development (CARD) Publications 98-wp188, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:98-wp188
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    Cited by:

    1. Hossain, Ferdaus & Jensen, Helen H., 2000. "Lithuania's food demand during economic transition," Agricultural Economics, Blackwell, vol. 23(1), pages 31-40, June.

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