On Consistent Estimators in Nonlinear Functional Errors-In-Variables Models

Alexander Kukush () and Silvelyn Zwanzig ()
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Alexander Kukush: ESAT-SISTA, K. U.Leuven
Silvelyn Zwanzig: Uppsala University, Dep. of Mathematics

A chapter in Total Least Squares and Errors-in-Variables Modeling, 2002, pp 145-154 from Springer

Abstract: Abstract For the implicit nonlinear functional relation model a new contrast estimation procedure is proposed, where the deconvolution idea is used for eliminating the nuisance parameters in the usual minimum contrast function. Several examples are considered including L 1- and L 2-methods. Sufficient conditions for consistency are given.

Keywords: nonlinear errors-in-variables models; functional relationship; minimum contrast estimation; estimation function; total L p norm approximation. (search for similar items in EconPapers)
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-3552-0_13

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DOI: 10.1007/978-94-017-3552-0_13

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