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Development of the generalized ridge estimator for the Poisson-Inverse Gaussian regression model with multicollinearity. [PDF]
Almulhim FA +5 more
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Implicit Solvent Models and Their Applications in Biophysics. [PDF]
Severoglu YB +5 more
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Evaluating the double Poisson generalized linear model
Accident Analysis & 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 ...
Yaotian, Zou +2 more
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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 ...
P.C. Consul, Felix Famoye
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Modeling household fertility decisions with generalized Poisson regression [PDF]
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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Censored generalized Poisson regression model
Computational Statistics & Data Analysis, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Famoye, Felix, Wang, Weiren
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Generalized poisson models arising from Markov processes
Statistics & Probability Letters, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bosch, Ronald J., Ryan, Louise M.
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A Generalized QMRA Beta‐Poisson Dose‐Response Model
Risk Analysis, 2016Quantitative microbial risk assessment (QMRA) is widely accepted for characterizing the microbial risks associated with food, water, and wastewater. Single‐hit dose‐response models are the most commonly used dose‐response models in QMRA. Denoting as the probability of infection at a given mean dose d, a three‐parameter generalized QMRA beta‐Poisson ...
Xie, Gang +5 more
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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.
Zhao, Yang +3 more
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