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Overdispersion: Models and estimation

Computational Statistics and Data Analysis, 1998
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John Hinde, Clarice Garcia Borges Demétrio   +1 more
exaly   +3 more sources

Overdispersion and Poisson Regression

Journal of Quantitative Criminology, 2008
This article discusses the use of regression models for count data. A claim is often made in criminology applications that the negative binomial distribution is the conditional distribution of choice when for a count response variable there is evidence of overdispersion.
Richard A Berk
exaly   +2 more sources

Dendritic excitability controls overdispersion

Nature Computational Science, 2022
The brain is an intricate assembly of intercommunicating neurons whose input-output function is only partially understood. The role of active dendrites in shaping spiking responses, in particular, is unclear. Although existing models account for active dendrites and spiking responses, they are too complex to analyze analytically and demand long ...
Zachary Friedenberger, Richard Naud
openaire   +2 more sources

Diagnostics for Overdispersion

Journal of the American Statistical Association, 1992
Abstract Diagnostic tools are proposed for assessing the dependence of extrabinomial or extra-Poisson variation on explanatory variables and for comparing several common models for overdispersion. These tools are based on tests for regression terms in the dispersion parameter of a generalized linear model, using double exponential family and ...
Lisa M. Ganio, Daniel W. Schafer
openaire   +1 more source

Spatial scan statistics with overdispersion

Statistics in Medicine, 2011
The spatial scan statistic has been widely used in spatial disease surveillance and spatial cluster detection for more than a decade. However, overdispersion often presents in real‐world data, causing not only violation of the Poisson assumption but also excessive type I errors or false alarms.
Tonglin, Zhang, Zuoyi, Zhang, Ge, Lin
openaire   +2 more sources

Phylogenetic Overdispersion in Floridian Oak Communities

The American Naturalist, 2004
Closely related species that occur together in communities and experience similar environmental conditions are likely to share phenotypic traits because of the process of environmental filtering. At the same time, species that are too similar are unlikely to co-occur because of competitive exclusion.
J, Cavender-Bares, D D, Ackerly, D A, Baum, F A, Bazzaz   +3 more
openaire   +2 more sources

A note on overdispersed exponential families

Biometrika, 1990
Abstract : The issue of creating overdispersion in a given one parameter one dimensional exponential family, by extending it to a two parameter exponential family with the same support, is considered. An easily verifiable sufficient condition for this is derived.
A. E. Gelfand, S. R. Dalal
openaire   +1 more source