Nonparametric estimation of the relative error regression for twice censored and dependent data-Reference-Cited by-同舟云学术

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Nonparametric estimation of the relative error regression for twice censored and dependent data

Published:2024-06-06 Issue: Volume: Page:1-34
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Benzamouche Sabrina¹,Ould Saïd Elias²,Sadki Ourida¹

Affiliation:

1. Laboratory of MSTD, Faculty of Mathematics, Université des Sciences et de la Téchnologie Houari Boumadienne, Algiers, Algeria

2. Laboratoire de Mathematique Pures et Appliquees, Department of BMA, Universite du Littoral Cote d’Opales, Calais, France

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2024.2344575

Reference12 articles.

1. Asymptotic normality of the relative error regression function estimator for censored and time series data

2. Bouhadjera F. E. Ould-Saïd and R. Remita 2021. Relative error prediction: Strong uniform consistency for censoring time series model. Communications in Statistics - Theory and Methods 52 (11):3709–29. https://arxiv.org/abs/1910.01964.

3. Estimating a Distribution Function for Censored Time Series Data

4. Doob, J. L. 1953. Stochastic processes. New York: Wiley.

5. Ferraty, F., and P. Vieu, 2006. Nonparametric functional data analysis. New York: Springer.

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