Results 241 to 250 of about 3,428,862 (283)
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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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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 ...
Felix Famoye, Weiren Wang
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Functional Form for the Generalized Poisson Regression Model
Communications in Statistics - Theory and Methods, 2012This article develops a functional form of the generalized Poisson regression model that parametrically nests the Poisson and the two well known generalized Poisson regression models (GP-1 and GP-2). The proposed model is applied on the Malaysian motor insurance claim count data.
Noriszura Ismail, Hossein Zamani
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Diagnostics Analysis in Censored Generalized Poisson Regression Model
Journal of Statistical Computation and Simulation, 2007In this article, we develop the application of influence diagnostics in censored generalized Poisson regression (CGPR) models based on case-deletion method and local influence analysis. The one-step approximations of the estimates in the case-deletion model are given and case-deletion measures, such as generalized Cook distance, likelihood distance are
Feng-Chang Xie, Bo-Cheng Wei
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A Score Test for Overdispersion in Poisson Regression Based on the Generalized Poisson-2 Model
Journal of Statistical Planning and Inference, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
James Hardin, Zhao Yang, Cheryl L Addy
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Analysis of Rates Using a Generalized Poisson Regression Model
Biometrical Journal, 1993AbstractIn this paper a generalization of the Poisson regression model indexed by a shape parameter is proposed for the analysis of life table and follow‐up data with concomitant variables. The model is suitable for analysis of extra‐Poisson variation data. The model is used to fit the survival data given in Holford (1980).
Karan P Singh, Felix Famoye
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Functional Form for the Zero-Inflated Generalized Poisson Regression Model
Communications in Statistics - Theory and Methods, 2014The 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.
Noriszura Ismail, Hossein Zamani
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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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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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This paper reviews the generalized Poisson regression model, the restricted generalized Poisson regression model and the mixed Poisson regression (negative binomial regression and Poisson inverse Gaussian regression) models which can he used for ...
Ozmen, I
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