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Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data

A substantial enhancement of the only text devoted entirely to the negative binomial model and its many variations.

Detalles Bibliográficos
Autor principal: Hilbe, Joseph M
Lenguaje:eng
Publicado: Cambridge University Press 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1413063
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author Hilbe, Joseph M
author_facet Hilbe, Joseph M
author_sort Hilbe, Joseph M
collection CERN
description A substantial enhancement of the only text devoted entirely to the negative binomial model and its many variations.
id cern-1413063
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
publisher Cambridge University Press
record_format invenio
spelling cern-14130632021-04-22T00:43:08Zhttp://cds.cern.ch/record/1413063engHilbe, Joseph MNegative Binomial Regression: Understanding and Modeling Overdispersed Count DataMathematical Physics and MathematicsA substantial enhancement of the only text devoted entirely to the negative binomial model and its many variations.Cambridge University Pressoai:cds.cern.ch:14130632011
spellingShingle Mathematical Physics and Mathematics
Hilbe, Joseph M
Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data
title Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data
title_full Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data
title_fullStr Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data
title_full_unstemmed Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data
title_short Negative Binomial Regression: Understanding and Modeling Overdispersed Count Data
title_sort negative binomial regression: understanding and modeling overdispersed count data
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1413063
work_keys_str_mv AT hilbejosephm negativebinomialregressionunderstandingandmodelingoverdispersedcountdata