论文信息 - On Consistent Estimators in Nonlinear Functional Errors-In-Variables Models

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

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.

Alexander Kukush | Silvelyn Zwanzig | A. Kukush | S. Zwanzig

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