Results 21 to 30 of about 97,649 (287)

Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]

open access: yes, 2005
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
core   +2 more sources

PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten)

open access: yesE-Jurnal Matematika, 2014
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

open access: yesJurnal Diferensial, 2023
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
doaj   +1 more source

The use of Poisson regression in the sociological study of suicide [PDF]

open access: yes, 2014
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
core   +1 more source

Can Generalized Poisson model replace any other count data models? An evaluation

open access: yesClinical Epidemiology and Global Health, 2021
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]

open access: yes, 2003
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
core   +2 more sources

Modelling fertility levels in Nigeria using Generalized Poisson regression-based approach

open access: yesScientific African, 2020
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]

open access: yes, 2006
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
core   +2 more sources

Pemodelan M-Adaptive Generalized Poisson Regression Spline Pada Kasus MDR-TB Di Kalimantan Barat

open access: yesJurnal Derivat, 2023
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]

open access: yes, 2006
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

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