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The estimation of number of bootstrap replications for the nonparametric bootstrap

Authors: Linda, Bohdan;

The estimation of number of bootstrap replications for the nonparametric bootstrap

Abstract

Non-parametric bootstrap can be implicated at small size of random sample from unknown distribution when statistical methods are used. The paper deals with the problem, how many non-parametric bootstrap replications have to be done at estimation of bias abd which extent of errors might be caused.

Country
Czech Republic
Related Organizations
Keywords

neparametrické metody, statistika, regresní modely

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average