Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Czado, Claudia, Min, Aleksey
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Poisson regression is a nonlinear regression that is often used to model count response variable and categorical, interval, or count regressor. This regression assumes equidispersion, i.e., the variance equals the mean.
NI MADE RARA KESWARI +2 more
doaj +1 more source
Model Generalized Poisson Regression (GPR) Pada Kasus Stunting Di Provinsi Nusa Tenggara Timur
Stunting is a child development disorder due to chronic malnutrition and recurrent infections characterized by a height below average. The purpose of this study was to determine the Generalized Poisson Regression (GPR) model in stunting cases in East ...
Maria Febriana Lais +3 more
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The use of Poisson regression in the sociological study of suicide [PDF]
This paper explains how Poisson regression can be used in studies in which the dependent variable describes the number of occurrences of some rare event such as suicide.
Hegedűs, Rita, Moksony, Ferenc
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Can Generalized Poisson model replace any other count data models? An evaluation
Background: Count data represents the number of occurrences of an event within a fixed period of time. In count data modelling, overdispersion is inevitable.
Bijesh Yadav +6 more
doaj +1 more source
BayesX: Analysing Bayesian structured additive regression models [PDF]
There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Brezger, Andreas +2 more
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Modelling fertility levels in Nigeria using Generalized Poisson regression-based approach
The rapid increase in total children ever born without a proportionate growth in the Nigerian economy has been a major concern. The total children ever born, being a count data, requires applying an appropriate regression model.
Jecinta U. Ibeji +3 more
doaj +1 more source
Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates [PDF]
This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter.
Czado, Claudia +2 more
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Pemodelan M-Adaptive Generalized Poisson Regression Spline Pada Kasus MDR-TB Di Kalimantan Barat
Tuberculosis is a disease caused by the Mycobacterium tuberculosis. Multi-Drug Resistant Tuberculosis (MDR-TB) is the term used to describe Mycobacterium tuberculosis that is resistant to one or more Anti-TB drugs.
Firzakalpa Syafiq Irvandi +2 more
doaj +1 more source
Testing for zero-modification in count regression models [PDF]
Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Czado, Claudia, Min, Aleksey
core +2 more sources

