Open Access Open Access  Restricted Access Subscription or Fee Access

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.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.