Results 271 to 280 of about 31,545 (295)

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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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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A new form of bivariate generalized Poisson regression model

AIP Conference Proceedings, 2014
This paper introduces a new form of bivariate generalized Poisson (BGP) regression which can be fitted to bivariate and correlated count data with covariates. The BGP regression suggested in this study can be fitted not only to bivariate count data with positive, zero or negative correlations, but also to underdispersed or overdispersed bivariate count
Pouya Faroughi, Noriszura Ismail
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GENERALIZED LEAST SQUARES METHODS FOR BIVARIATE POISSON REGRESSION

Communications in Statistics - Theory and Methods, 2001
We consider bivariate Poisson regression models to analyse bivariate counts obtained under a stratified sampling scheme. A hybrid maximum likelihood (ML)/generalized least squares (GLS) method is used to obtain estimates of the relevant parameters. The proposed two stage procedure is asymptotically equivalent to and computationally simpler than that ...
Linda Lee Ho, Julio da Motta Singer
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Diagnostics for generalized Poisson regression models with errors in variables

Journal of Statistical Computation and Simulation, 2009
In this paper, we develop diagnostic methods for generalized Poisson regression (GPR) models with errors in variables based on the corrected likelihood. The one-step approximations of the estimates in the case-deletion model are given and case-deletion and local influence measures are presented.
Feng-Chang Xie, Bo-Cheng Wei
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FOOD INSECURITY AND EDUCATIONAL ACHIEVEMENT: A MULTI-LEVEL GENERALIZATION OF POISSON REGRESSION

2013
This research examined the relationship between food insecurity, the National School Lunch Program (NSLP), and academic achievement in Georgia’s public school system. Georgia is located in the southern U.S. states, where food insecurity has been particularly prevalent.
Ames, Allison Jennifer, Ames, Glenn C.W., Houston, Jack E., Angioloni, Simone, Ames, Allison Jennifer, Ames, Glenn C.W., Houston, Jack E., Angioloni, Simone   +7 more
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Functional Form for the Zero-Inflated Generalized Poisson Regression Model

Communications in Statistics - Theory and Methods, 2014
The generalized Poisson (GP) regression is an increasingly popular approach for modeling overdispersed as well as underdispersed count data. Several parameterizations have been performed for the GP regression, and the two well known models, the GP-1 and the GP-2, have been applied.
Hossein Zamani, Noriszura Ismail
exaly   +2 more sources

Local influence measure of zero‐inflated generalized Poisson mixture regression models

Statistics in Medicine, 2012
In many practical applications, count data often exhibit greater or less variability than allowed by the equality of mean and variance, referred to as overdispersion/underdispersion, and there are several reasons that may lead to the overdispersion/underdispersion such as zero inflation and mixture.
Chen, Xue-Dong, Fu, Ying-Zi, Wang, Xue-Ren   +2 more
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Estimation of count data using mixed Poisson, generalized Poisson and finite Poisson mixture regression models

AIP Conference Proceedings, 2014
This study relates the Poisson, mixed Poisson (MP), generalized Poisson (GP) and finite Poisson mixture (FPM) regression models through mean-variance relationship, and suggests the application of these models for overdispersed count data. As an illustration, the regression models are fitted to the US skin care count data.
Hossein Zamani, Pouya Faroughi, Noriszura Ismail   +2 more
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Ratio estimation via Poisson regression and Generalized Estimating Equations

Statistics & Probability Letters, 2008
In this article, we show that ratio estimates, and their asymptotic variances can be correctly obtained from a Poisson regression with appropriately chosen link function and Generalized Estimating Equation techniques. The sandwich estimator of variance is shown to be algebraically equal to the usual asymptotic variance obtained by considering a Taylor ...
Jorge G. Morel, Nagaraj K. Neerchal
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