Kriging With Nonparametric Variance Function Estimation

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.

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Year of publication:	1998-02
Authors:	Opsomer, Jean D. ; Ruppert, D. ; Wand, M. P. ; Holst, U. ; Hussjer, O.
Institutions:	Center for Agricultural and Rural Development (CARD), Iowa State University

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Extent:	application/pdf text/html
Series:	Center for Agricultural and Rural Development (CARD) Publications.
Type of publication:	Book / Working Paper
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005835284