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Using the negative binomial distribution to model overdispersion in ecological count data

Using the negative binomial distribution to model overdispersion in ecological count data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_883467226

Using the negative binomial distribution to model overdispersion in ecological count data

About this item

Full title

Using the negative binomial distribution to model overdispersion in ecological count data

Author / Creator

Publisher

Washington, DC: Ecological Society of America

Journal title

Ecology (Durham), 2011-07, Vol.92 (7), p.1414-1421

Language

English

Formats

Publication information

Publisher

Washington, DC: Ecological Society of America

More information

Scope and Contents

Contents

A Poisson process is a commonly used starting point for modeling stochastic variation of ecological count data around a theoretical expectation. However, data typically show more variation than implied by the Poisson distribution. Such overdispersion is often accounted for by using models with different assumptions about how the variance changes wi...

Alternative Titles

Full title

Using the negative binomial distribution to model overdispersion in ecological count data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_883467226

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_883467226

Other Identifiers

ISSN

0012-9658

E-ISSN

1939-9170

DOI

10.1890/10-1831.1

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