Kriging With Nonparametric Variance Function Estimation

Jean Opsomer, D. Ruppert, M. Wand, U. Holst and O. Hussjer

Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University

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.

Date: 1998-02
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.card.iastate.edu/products/publications/pdf/98wp188.pdf Full Text (application/pdf)
https://www.card.iastate.edu/products/publications/synopsis/?p=215 Online Synopsis (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ias:cpaper:98-wp188

Access Statistics for this paper

More papers in Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University Contact information at EDIRC.
Bibliographic data for series maintained by ().