Estimating median and other quantiles in nonparametric models
Zieliński, Ryszard
Applicationes Mathematicae, Tome 23 (1995), p. 363-370 / Harvested from The Polish Digital Mathematics Library

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.

Publié le : 1995-01-01
EUDML-ID : urn:eudml:doc:219138
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     author = {Ryszard Zieli\'nski},
     title = {Estimating median and other quantiles in nonparametric models},
     journal = {Applicationes Mathematicae},
     volume = {23},
     year = {1995},
     pages = {363-370},
     zbl = {0836.62028},
     language = {en},
     url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-zmv23i3p363bwm}
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Zieliński, Ryszard. Estimating median and other quantiles in nonparametric models. Applicationes Mathematicae, Tome 23 (1995) pp. 363-370. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-zmv23i3p363bwm/

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