Poisson regression

In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson… (More)
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Highly Cited
2012
Highly Cited
2012
SUMMARY We propose a parametric model, HiCNorm, to remove systematic biases in the raw Hi-C contact maps, resulting in a simple… (More)
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Highly Cited
2012
Highly Cited
2012
An approach to the problem of estimating the size of inhomogeneous crowds, which are composed of pedestrians that travel in… (More)
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Highly Cited
2011
Highly Cited
2011
Modeling and inferential procedures (estimation and precision assessment) are discussed for a single proportion, thereafter in… (More)
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Highly Cited
2009
Highly Cited
2009
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is… (More)
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2007
2007
In actuarial hteramre, researchers suggested various statistical procedures to estimate the parameters in claim count or… (More)
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Highly Cited
2007
Highly Cited
2007
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
2006
Highly Cited
2006
Abstract: We present several modifications of the Poisson and negative binomial models for count data to accommodate cases in… (More)
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2005
2005
In recent years the applications of multivariate Poisson models have increased, mainly because of the gradual increase in… (More)
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Highly Cited
2000
Highly Cited
2000
This article introduces the use of regression models based on the Poisson distribution as a tool for resolving common problems in… (More)
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Highly Cited
1988
Highly Cited
1988
This paper presents analytical, Monte Carlo, and empirical evidence on models for event count data. Event counts are dependent… (More)
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