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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Biometrical Journalarrow_drop_down
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Biometrical Journal
Article . 1995 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Biometrical Journal
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Characterization of the Negative Binomial and Gamma Distributions

Characterization of the negative binomial and gamma distributions
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1995 English Publisher:WileyJournal:Biometrical Journal, volume 37, pages 251-254 (issn: 0323-3847, eissn: 1521-4036, Copyright policy )
Authors: Seng Huat Ong;

doi: 10.1002/bimj.4710370217

Characterization of the Negative Binomial and Gamma Distributions

Abstract

AbstractCharacterization of the negative binomial and gamma distributions by a conditional distribution and a linear regression, and the gamma distribution by the negative binomial distribution are given. An application to a random shock model is discussed.

Related Organizations
Keywords

random shock model, Characterization and structure theory of statistical distributions, conditional distribution, linear regression, negative binomial distribution, gamma distributions

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citations
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
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