@Article{AAM-34-4,
author = {Ou, Meijuan and Xiong, Xianzhu and Yi, Wang},
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 = {2018},
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/2018-AAM-20587},
url = {https://global-sci.com/article/72731/asymptotic-normality-of-the-nonparametric-kernel-estimation-of-the-conditional-hazard-function-for-left-truncated-and-dependent-data}
}