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Theory and Method

A Smooth Nonparametric Estimator of a Quantile Function

Pages 1004-1011 | Received 01 Mar 1983, Published online: 12 Mar 2012

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É. Youndjé. (2023) L2 consistency of the kernel quantile estimator. Communications in Statistics - Theory and Methods 52:17, pages 6111-6125.
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Y. L. Lio & W. J. Padgett. (1992) Asymptotically optimal bandwidth for a smooth nonparametric quantile estimator under censoring. Journal of Nonparametric Statistics 1:3, pages 219-229.
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Hiroyuki Takeuchi & Shinichiro Yokoyama. (1991) A note on quantile estimation by the kernel method. Communications in Statistics - Simulation and Computation 20:1, pages 149-156.
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Y.L. Lio & W.J. Padgett. (1987) On the mean squared error of nonparametric quantile estimators under random right-censorship. Communications in Statistics - Theory and Methods 16:6, pages 1617-1628.
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Seth M. Steinberg & C. E. Davis. (1987) Comparison of nonparametric point estimators for interquantile differences in moderate sized samples. Communications in Statistics - Theory and Methods 16:6, pages 1607-1616.
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Russell F. Kappenman. (1987) Improved distribution quantile estimation. Communications in Statistics - Simulation and Computation 16:2, pages 307-320.
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W.J. Padgett. (1986) A Kernel-Type Estimator of a Quantile Function from Right-Censored Data. Journal of the American Statistical Association 81:393, pages 215-222.
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W. J. Padgett & L. A. Thombs. (1986) Smooth nonparametric quantile estimation under censoring: simulations and bootstrap methods. Communications in Statistics - Simulation and Computation 15:4, pages 1003-1025.
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A. Fırat Özdemir, Engin Yildiztepe, Tuğçe Paksoy & Gözde Navruz. Searching the differences through the tails of distributions using an approach based on Mahalanobis distance and percentile bootstrap. Communications in Statistics - Simulation and Computation 0:0, pages 1-10.
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