Results 211 to 220 of about 20,066 (266)

Overdispersion: Models and estimation

Computational Statistics and Data Analysis, 1998
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Clarice G B Demetrio
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 Berk, Macdonald John M
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

Overdispersion of aggregated genetic data

Mutation Research - Environmental Mutagenesis and Related Subjects Including Methodology, 1992
K O Bowman, K O Bowman
exaly   +3 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

A Note on Wadley's Problem with Overdispersion

Applied Statistics, 1992
Summary: Wadley's problem results from quantal dose-response experiments when the basic distribution is Poisson, rather than binomial. We review approaches to the problem, with paricular reference to using GLIM and incorporating overdispersion. Two examples are provided, and the importance of estimating overdispersion from the fit of a saturated model ...
Morgan, B. J. T., Smith, D. M.
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

Overdispersion In Marine Fish Parasites

Journal of Parasitology, 2012
A modification of Taylor's Power law was used to compare the degree of overdispersion in frequency distributions from 38 datasets of marine parasites, data that had originally been collected for fish stock discrimination. The results strongly indicate that the overriding factor contributing to overdispersion in these helminths and crustaceans is the ...
openaire   +5 more sources

The overdispersion in activity of place cells

Neurocomputing, 2001
Abstract The spontaneous discharge of place cells reflects the position of an animal in its environment. The firing rate is high inside a part of it, called the firing field, and low outside. It has been found experimentally that while the activity of place cells is highly reliable in position, it does not retain the same reliability in time.
Petr Lánský, André A. Fenton, Jean Vaillant   +2 more
openaire   +2 more sources

Modeling the overdispersion of parasite loads

Mathematical Biosciences, 1991
Many epidemic models lead to an approximately Poisson distribution of parasites among hosts. This is at variance with observation, where heavy overdispersion is the rule. A simple model is proposed that, while treating individuals alike, nonetheless gives rise to highly variable parasite loads.
Barbour AD, Kafetzaki M
openaire   +4 more sources