A smooth nonparametric quantile estimator from right-censored data
W. J. Padget and
L. A. Thombs
Statistics & Probability Letters, 1988, vol. 7, issue 2, 113-121
Abstract:
Based on randomly right-censored data, a smooth nonparametric estimator of the quantile function of the lifetime distribution is studied. The estimator is defined to be the solution xn(p) of Fn(xn(p)) = p, where Fn is the distribution function corresponding to a kernel estimator of the lifetime density. The strong consistency and asymptotic normality of xn(p) are shown. Data-based selection of the bandwidth required for computing Fn is investigated using bootstrap methods. Illustrative examples are given.
Keywords: right-censoring; percentiles; asymptotic; normality; bootstrap; method (search for similar items in EconPapers)
Date: 1988
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:7:y:1988:i:2:p:113-121
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