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.
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Kukush, A., Zwanzig, S. (2002). On Consistent Estimators in Nonlinear Functional Errors-In-Variables Models. In: Van Huffel, S., Lemmerling, P. (eds) Total Least Squares and Errors-in-Variables Modeling. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3552-0_13
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DOI: https://doi.org/10.1007/978-94-017-3552-0_13
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5957-4
Online ISBN: 978-94-017-3552-0
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