Asymptotic properties of a kernel etimate of the conditional mode in the presence of doubly censored data-Reference-Cited by-同舟云学术

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Asymptotic properties of a kernel etimate of the conditional mode in the presence of doubly censored data

Published:2022-12-15 Issue: Volume: Page:1-19
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Benchoulak H.¹,Boukeloua M.²³,Messaci F.¹

Affiliation:

1. Laboratoire de Mathématiques et Sciences de la Décision (LAMASD), Constantine, Algeria

2. Ecole Nationale Polytechnique de Constantine, Laboratoire de Génie des Procédés pour le Développement Durable et les Produits de Santé (LGPDDPS), Constantine, Algeria

3. Faculté de Médecine, Laboratoire de Biostatistique, Bioinformatique et méthodologie Mathématique Appliquées aux Sciences de la Santé (BIOSTIM), Algeria

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2022.2155790

Reference19 articles.

1. Kernel estimation of the conditional density under a censorship model

2. Asymptotic normality of kernel estimators based upon incomplete data

3. Weak Convergence of a Self-Consistent Estimator of the Survival Function with Doubly Censored Data

4. Strong Consistency of a Nonparametric Estimator of the Survival Function with Doubly Censored Data

5. A note on prediction via estimation of the conditional mode function

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