Some Convergence Results for Kernel-Type Quantile Estimators under Censoring.
SOUTH CAROLINA UNIV COLUMBIA DEPT OF MATHEMATICS AND STATISTICS
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Based on right-censored data from a lifetime distribution, a kernel-type estimator of a certain quantile function is studied. This estimator is smoother than a product-limit quantile function. This document also covers asymptotic normality asymptotic mean equivalence and mean square convergence. Keywords probability distribution kernel functions.
- Statistics and Probability