Abstract
In this paper, we construct a nonparametric regression quantile estimator by using the local linear fitting for left-truncated data, and establish the Bahadur-type representation and asymptotic normality of the proposed estimator when the observations form a stationary α-mixing sequence. Finite-sample performance of the estimator is investigated via simulation studies.
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