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Journal of Modern Applied Statistical Methods
Article . 2003 . Peer-reviewed
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Journal of Modern Applied Statistical Methods
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Bootstrapping Confidence Intervals For Robust Measures Of Association

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2003 English Publisher:The Netherlands PressJournal:Journal of Modern Applied Statistical Methods, volume 2, pages 512-519 (eissn: 1538-9472, Copyright policy )
Authors: Jason E. King;

doi: 10.22237/jmasm/1067646240

Bootstrapping Confidence Intervals For Robust Measures Of Association

Abstract

A Monte Carlo simulation study compared four bootstrapping procedures in generating confidence intervals for the robust Winsorized and percentage bend correlations. Results revealed the superior resiliency of the robust correlations over r, with neither outperforming the other. Unexpectedly, the bootstrapping procedures achieved roughly equivalent outcomes for each correlation.

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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.
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