Results 231 to 240 of about 97,649 (287)

Multiple Contrast Tests for Count Data: Small Sample Approximations and Their Limitations. [PDF]

Biom J
Pigorsch M, Hothorn LA, Konietschke F.
europepmc   +1 more source

The Role of Nut Sensitization in Pru p 3-Sensitized Patients: A XGBoost and Generalized Linear Model Application. [PDF]

Int J Mol Sci
Gangemi S, Caristi G, Alessandrello C, Dimasi F, Nuccio F, Morabito M, Minciullo PL.   +6 more
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Zero-inflated generalized Poisson regression: Asymptotic theory and applications.

, 2004
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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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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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Generalized poisson regression model

Communications in Statistics - Theory and Methods, 1992
The 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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Censored generalized Poisson regression model

Computational Statistics & Data Analysis, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Famoye, Felix, Wang, Weiren
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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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Testing Approaches for Overdispersion in Poisson Regression versus the Generalized Poisson Model

Biometrical Journal, 2007
AbstractOverdispersion 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, James W, Hardin, Cheryl L, Addy, Quang H, Vuong   +3 more
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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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