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Volume 34, Issue 4
Asymptotic Normality of the Nonparametric Kernel Estimation of the Conditional Hazard Function for Left-Truncated and Dependent Data

Meijuan Ou, Xianzhu Xiong & Yi Wang

Ann. Appl. Math., 34 (2018), pp. 395-406.

Published online: 2022-06

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  • Abstract

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-Saïd [1].

  • Keywords

asymptotic normality, Nadaraya-Watson estimation, local linear estimation, conditional hazard function, left-truncated data.

  • AMS Subject Headings

62G05, 62N02

  • Copyright

COPYRIGHT: © Global Science Press

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@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 = {

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-Saïd [1].

}, issn = {}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/aam/20587.html} }
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 -

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-Saïd [1].

Meijuan Ou, Xianzhu Xiong & Yi Wang. (2022). Asymptotic Normality of the Nonparametric Kernel Estimation of the Conditional Hazard Function for Left-Truncated and Dependent Data. Annals of Applied Mathematics. 34 (4). 395-406. doi:
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