@ARTICLE{10.21494/ISTE.OP.2021.0619, 

TITLE={On the asymptotic normality of a kernel conditional quantile estimator for censored and associated data}, 
  
AUTHOR={Wafaa Djelladj, Abdelkader Tatachak, }, 
	
JOURNAL={Biostatistics and Health Sciences}, 
	
VOLUME={2}, 

NUMBER={Issue 1}, 
	
YEAR={2021}, 

URL={https://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.}}