TY - JOUR
T1 - Asymptotic Normality of the Nonparametric Kernel Estimation of the Conditional Hazard Function for Left-Truncated and Dependent Data
AU - Ou , Meijuan
AU - Xiong , Xianzhu
AU - Wang , Yi
JO - Annals of Applied Mathematics
VL - 4
SP - 395
EP - 406
PY - 2022
DA - 2022/06
SN - 34
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/aam/20587.html
KW - asymptotic normality, Nadaraya-Watson estimation, local linear estimation, conditional hazard function, left-truncated data.
AB - <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>