Results 251 to 260 of about 3,428,862 (283)

General mixed Poisson regression models with varying dispersion

Statistics and Computing, 2015
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Wagner Barreto-Souza, Alexandre B. Simas
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A rich family of generalized Poisson regression models with applications

Mathematics and Computers in Simulation, 2005
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Sejong Bae, Felix Famoye, J. T. Wulu, Alfred A. Bartolucci, Karan P. Singh   +4 more
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Marginalized zero-inflated generalized Poisson regression

Journal of Applied Statistics, 2017
The generalized Poisson (GP) regression model has been used to model count data that exhibit over-dispersion or under-dispersion. The zero-inflated GP (ZIGP) regression model can additionally handle count data characterized by many zeros. However, the parameters of ZIGP model cannot easily be used for inference on overall exposure effects.
Felix Famoye, John S. Preisser
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Test Statistics for Dispersion Parameter in Poisson Regression and Generalized Poisson Regression Models

2016
Silpakorn University Science and Technology Journal, 10 ...
Veeranun Pongsapukdee, Pairoj Khawsittiwong, Maysiya Yamjaroenkit   +2 more
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Mean regression model for the zero-truncated Poisson distribution and its generalization

Computational Statistics & Data Analysis, 2023
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Xun-Jian Li, Yuan Sun, Guo-Liang Tian, Jiajuan Liang, Jianhua Shi   +4 more
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Score test for testing Poisson regression against generalized Poisson alternatives

AIP Conference Proceedings, 2013
Poisson regression model has been considered as a standard method for modeling count data. However, count data often display overdispersion, and thus, negative binomial (NB) regression model has been suggested for handling overdispersed count data. In addition, generalized Poisson (GP) regression model has been proposed for handling both over- and ...
Hossein Zamani, Noriszura Ismail
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Generalized poisson regression for positive count data

Communications in Statistics - Simulation and Computation, 1997
This paper suggests a flexible parametrization of the generalized Poisson regression, which is likely to be particularly useful when the sample is truncated at zero. Suitable specification tests for this case are also studied. The use of the models and tests suggested is illustrated with an application to the number of recreational fishing trips taken ...
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Modelling of filariasis in East Java with Poisson regression and generalized Poisson regression models

AIP Conference Proceedings, 2016
Poisson regression has been used if the response variable is count data that based on the Poisson distribution. The Poisson distribution assumed equal dispersion. In fact, a situation where count data are over dispersion or under dispersion so that Poisson regression inappropriate because it may underestimate the standard errors and overstate the ...
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Restricted generalized poisson regression model

Communications in Statistics - Theory and Methods, 1993
The family of generalized Poisson distribution has been found useful in describing over-dispersed and under-dispersed count data. We propose the use of restricted generalized Poisson regression model to predict a response variable affected by one or more explanatory variables.
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A Multivariate Generalized Poisson Regression Model

Communications in Statistics - Theory and Methods, 2014
A multivariate generalized Poisson regression model based on the multivariate generalized Poisson distribution is defined and studied. The regression model can be used to describe a count data with any type of dispersion. The model allows for both positive and negative correlation between any pair of the response variables.
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