Some convergence results for kernel-type quantile estimators under censoring

Y. L. Lio and W. J. Padgett

Statistics & Probability Letters, 1987, vol. 5, issue 1, 5-14

Abstract: Based on right-censored data from a lifetime distribution, some important asymptotic properties of kernel-type estimators of the quantile function are presented, including asymptotic normality and mean-square convergence (with a rate).

Keywords: smooth; nonparametric; quantile; estimation; random; censorship; asymptotic; normality; mean; square; convergence (search for similar items in EconPapers)
Date: 1987
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