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Asymptotic Results of a Nonparametric Conditional Quantile Estimator in the Single Functional Index Modeling under Random Censorship Cover

Asymptotic Results of a Nonparametric Conditional Quantile Estimator in the Single Functional Index Modeling under Random Censorship

General Mathematics
Volume 29 (2021): Issue 2 (December 2021)
By: Nadia Kadiri,  Abbes Rabhi and  Fatima Akkal  
Open Access
|Mar 2022

Authors

Nadia Kadiri

nad.kad06@yahoo.com

University Djillali LIABES of Sidi Bel Abbes, Sidi Bel Abbes, Algeria

Abbes Rabhi

rabhi_abbes@yahoo.fr

University Djillali LIABES of Sidi Bel Abbes, Faculty of Exact Sciences, Probability and Statistics, Sidi Bel Abbes, Algeria

Fatima Akkal

fatima.akkal@hotmail.com

University Djillali LIABES of Sidi Bel Abbes, Faculty of Exact Sciences, Probability and Statistics, Sidi Bel Abbes, Algeria
DOI: https://doi.org/10.2478/gm-2021-0020 | Journal eISSN: 1584-3289 | Journal ISSN: 1221-5023
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Language: English
Page range: 137 - 168
Submitted on: Oct 4, 2020
Accepted on: Jul 28, 2021
Published on: Mar 30, 2022
Published by: Lucian Blaga University of Sibiu
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Conditional quantile,
censored data,
functional random variable,
kernel estimator,
nonparametric estimation,
probabilities of small balls,
single index model
Related subjects:
Mathematics,
Differential equations and dynamical systems,
Probability and statistics,
Numerical and computational mathematics,
Applied mathematics

© 2022 Nadia Kadiri, Abbes Rabhi, Fatima Akkal, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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