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Functional local linear estimation for the relative regression under left-truncation

Belkais Altendji

Abstract



The focus of this paper is to set up asymptotic properties of the constructed estimator. These results are obtained under some standard conditions in NFDA where we prove the pointwise and the uniform almost complete consistencies of the local linear relative error regressor under left-trancated data.

Keywords


Truncated data; Local linear estimation; Missing data; Censored data; Functional regression; Relative error.

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