@ARTICLE{10.21494/ISTE.OP.2021.0619, TITLE={On the asymptotic normality of a kernel conditional quantile estimator for censored and associated data}, AUTHOR={Abdelkader Tatachak, Wafaa Djelladj, }, JOURNAL={Biostatistics and Health Sciences}, VOLUME={2}, NUMBER={Issue 1}, YEAR={2021}, URL={https://www.openscience.fr/On-the-asymptotic-normality-of-a-kernel-conditional-quantile-estimator-for}, DOI={10.21494/ISTE.OP.2021.0619}, ISSN={2632-8291}, ABSTRACT={This paper aims at establishing the asymptotic normality for a kernel conditional quantile estimator in a right censorship model for which, the lifetime observations and the covariates are assumed to satisfy an association dependency type.}}