@Article{AAM-34-395,
author = {Ou , MeijuanXiong , Xianzhu and Wang , Yi},
title = {Asymptotic Normality of the Nonparametric Kernel Estimation of the Conditional Hazard Function for Left-Truncated and Dependent Data},
journal = {Annals of Applied Mathematics},
year = {2022},
volume = {34},
number = {4},
pages = {395--406},
abstract = {<p style="text-align: justify;">Under some mild conditions, we derive the asymptotic normality of the
Nadaraya-Watson and local linear estimators of the conditional hazard function
for left-truncated and dependent data. The estimators were proposed by Liang
and Ould-Saïd [1]. The results confirm the guess in Liang and Ould-Sa<span style="text-align: justify;">ï</span>d [1].</p>},
issn = {},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/aam/20587.html}
}