Estimating median and other quantiles in nonparametric models
Applicationes Mathematicae, Tome 23 (1996) no. 3, pp. 363-370
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Though widely accepted, in nonparametric models admitting asymmetric distributions the sample median, if n=2k, may be a poor estimator of the population median. Shortcomings of estimators which are not equivariant are presented.
Ryszard Zieliński. Estimating median and other quantiles in nonparametric models. Applicationes Mathematicae, Tome 23 (1996) no. 3, pp. 363-370. doi: 10.4064/am-23-3-363-370
@article{10_4064_am_23_3_363_370,
author = {Ryszard Zieli\'nski},
title = {Estimating median and other quantiles in nonparametric models},
journal = {Applicationes Mathematicae},
pages = {363--370},
year = {1996},
volume = {23},
number = {3},
doi = {10.4064/am-23-3-363-370},
zbl = {0836.62028},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.4064/am-23-3-363-370/}
}
TY - JOUR AU - Ryszard Zieliński TI - Estimating median and other quantiles in nonparametric models JO - Applicationes Mathematicae PY - 1996 SP - 363 EP - 370 VL - 23 IS - 3 UR - http://geodesic.mathdoc.fr/articles/10.4064/am-23-3-363-370/ DO - 10.4064/am-23-3-363-370 LA - en ID - 10_4064_am_23_3_363_370 ER -
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