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Communications for Statistical Applications and Methods
Article . 2002 . Peer-reviewed
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Communications for Statistical Applications and Methods
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https://dx.doi.org/10.5351/cks...
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Bootstrapping Logit Model

descriptionPublicationkeyboard_double_arrow_right Article 01 Apr 2002 English Publisher:The Korean Statistical SocietyJournal:Communications for Statistical Applications and Methods, volume 9, pages 281-289 (issn: 2287-7843, Copyright policy )
Authors: Dae-hak Kim; Hyeong-Chul Jeong;

doi: 10.5351/ckss.2002.9.1.281

Bootstrapping Logit Model

Abstract

In this paper, we considered an application of the bootstrap method for logit model. Estimation of type I error probability, the bootstrap p-values and bootstrap confidence intervals of parameter were proposed. Small sample Monte Carlo simulation were conducted in order to compare proposed method with existing normal theory based asymptotic method.

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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!
1
Average
Average
Average
gold