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Generalized poisson regression model
Communications in Statistics - Theory and Methods, 1992The generalized Poisson distribution has been found useful in fitting over-dispersed as well as under-dispersed count data. Since a number of models and methods have been proposed for the regression analysis of count data either with under-dispersion or with over-dispersion, we define and study a generalized Poisson regression (GPR) model which is ...
Felix Famoye, P C Consul
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Testing Approaches for Overdispersion in Poisson Regression versus the Generalized Poisson Model
Biometrical Journal, 2007AbstractOverdispersion is a common phenomenon in Poisson modeling, and the negative binomial (NB) model is frequently used to account for overdispersion. Testing approaches (Wald test, likelihood ratio test (LRT), and score test) for overdispersion in the Poisson regression versus the NB model are available.
James W Hardin, Zhao Yang
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Evaluating the double Poisson generalized linear model
Accident Analysis and Prevention, 2013The objectives of this study are to: (1) examine the applicability of the double Poisson (DP) generalized linear model (GLM) for analyzing motor vehicle crash data characterized by over- and under-dispersion and (2) compare the performance of the DP GLM with the Conway-Maxwell-Poisson (COM-Poisson) GLM in terms of goodness-of-fit and theoretical ...
Srinivas Geedipally +2 more
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A Bayesian analysis of zero-inflated generalized Poisson model
Computational Statistics and Data Analysis, 2003In several real-life examples one encounters count data where the number of zeros is such that the usual Poisson distribution does not fit the data. Quite often the number of zeros is large, and hence the data is zero inflated. In this situation, a zero-inflated generalized Poisson model can be considered and a Bayesian analysis can be carried out ...
Atanu Biswas
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On Control Charts Based on the Generalized Poisson Model
Quality Technology and Quantitative Management, 2006AbstractThe Poisson distribution is widely used to fit count data such as the number of nonconformities in a product unit. However, this distribution fails to fit the defect data in a high-quality manufacturing environment when over-dispersion occurs. In this paper, the generalized Poisson distribution is studied as an alternative distribution.
T N Goh
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Censored generalized Poisson regression model
Computational Statistics & Data Analysis, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Felix Famoye, Weiren Wang
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On the Modelling and Monitoring of General Inflated Poisson Processes
Quality and Reliability Engineering International, 2015In this work, we propose and study general inflated probability distributions that can be used for modelling and monitoring unusual count data. The considered models extend the well-known zero-inflated Poisson distribution because they allow the excess of values, other than zero. Four simple upper-sided control schemes are considered for the monitoring
Athanasios C. Rakitzis +2 more
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On generalizing the Two-Poisson Model
Journal of the American Society for Information Science, 1990Utilisation des modeles de Poisson dans l'analyse de l'efficacite d'une indexation.
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Modeling household fertility decisions with generalized Poisson regression [PDF]
Journal of Population Economics, 1997 This paper models household fertility decisions by using a generalized Poisson regression model. Since the fertility data used in the paper exhibit under-dispersion, the generalized Poisson regression model has statistical advantages over both standard Poisson and negative binomial regression models, and is suitable for analysis of count data that ...
Weiren Wang, Felix Famoye
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Generalized Poisson autoregressive models for time series of counts
Computational Statistics & Data Analysis, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cathy W. S. Chen, Sangyeol Lee
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