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Poisson regression

In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson… 
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Papers overview

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2016
2016
A quadratic programming method with network flow constraints is proposed to improve crowd pedestrian counting in video… 
2012
2012
Climate changes have become serious issues that have been widely discussed by researchers. One of the issues concerns with the… 
2010
2010
In fitting regression models with spatial data, it is often assumed that the relationships between the response variable and… 
2007
2007
A kernel machine is proposed as an estimating procedure for the linear and nonlinear Poisson regression, which is based on the… 
2005
2005
Raters have become an important source of measuring errors in recent time researches in nearly all the fields of human endeavour… 
2004
2004
Paired comparison models in loglinear form are generalised linear models and can be fitted using the IWLS algorithm… 
1994
1994
This paper deals with the analysis of particle or defect data collected on silicon wafers at specific points during the IC… 
1991
1991
This paper presents new models for simultaneous relationships among endogenous categorical variables. Previous investigators have…