Asymptotic normality for a non parametric estimator of conditional quantile with left-truncated data
Mei Yao,
Jiang-Feng Wang and
Lu Lin
Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 13, 6280-6292
Abstract:
In this paper, we construct a non parametric estimator of conditional distribution function by the double-kernel local linear approach for left-truncated data, from which we derive the weighted double-kernel local linear estimator of conditional quantile. The asymptotic normality of the proposed estimators is also established. Finite-sample performance of the estimator is investigated via simulation.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:46:y:2017:i:13:p:6280-6292
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DOI: 10.1080/03610926.2015.1124120
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