@Article{AAM-33-4,
author = {Mimi, Hong and Xiong, Xianzhu},
title = {Local Polynomial Double-Smoothing Estimation of a Conditional Distribution Function with Dependent},
journal = {Annals of Applied Mathematics},
year = {2017},
volume = {33},
number = {4},
pages = {364--378},
abstract = {<p style="text-align: justify;">Based on the idea of local polynomial double-smoother, we propose an
estimator of a conditional cumulative distribution function with dependent
and left-truncated data. It is assumed that the observations form a stationary $α$-mixing sequence. Asymptotic normality of the estimator is established. The
finite sample behavior of the estimator is investigated via simulations.</p>},
issn = {},
doi = {https://doi.org/2017-AAM-20617},
url = {https://global-sci.com/article/72761/local-polynomial-double-smoothing-estimation-of-a-conditional-distribution-function-with-dependent}
}