Estimating median and other quantiles in nonparametric models
Applicationes Mathematicae, Tome 23 (1996) no. 3, pp. 363-370
Voir la notice de l'article provenant de la source Institute of Mathematics Polish Academy of Sciences
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.
DOI :
10.4064/am-23-3-363-370
Keywords:
estimation, quantiles, median
Affiliations des auteurs :
Ryszard Zieliński 1
@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},
publisher = {mathdoc},
volume = {23},
number = {3},
year = {1996},
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 PB - mathdoc 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 -
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
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