scholarly journals Geographically Weighted Bivariate Zero Inflated Generalized Poisson Regression Model and Its Application

Heliyon ◽  
2021 ◽  
pp. e07491
Author(s):  
Purhadi ◽  
Dewi Novita Sari ◽  
Qurotul Aini ◽  
Irhamah
Keyword(s):  
Regression Model ◽  
Poisson Regression ◽  
Poisson Regression Model ◽  
Generalized Poisson ◽  
Generalized Poisson Regression

scholarly journals Modelling Generalized Poisson Regression in the Number of Dengue Hemorrhagic Fever (DHF) in East Nusa Tenggara

2020 ◽  
Vol 202 ◽  
pp. 12017
Author(s):  
Alan Prahutama ◽  
Dwi Ispriyanti ◽  
Budi Warsito
Keyword(s):  
Regression Model ◽  
Dengue Hemorrhagic Fever ◽  
Poisson Regression ◽  
Average Length ◽  
Dispersion Model ◽  
Hemorrhagic Fever ◽  
Poisson Regression Model ◽  
Generalized Poisson ◽  
Generalized Poisson Regression ◽  
Over Dispersion

Regression analysis is an analysis used to model the relationship between the dependent variable (Y) and the independent variable (X). If the dependent variable is a discrete random variable, it is developed using the Poisson regression model. Poisson regression models require non-over-dispersion model assumptions. To deal with over-dispersion, a Generalized Poisson regression model was developed. Generalized Poisson regression (GPR) model is an extension of the Poisson regression model. In this study a GPR model is applied to model the number of dengue hemorrhagic fever (DHF) sufferers in East Nusa Tenggara Province in 2018. The independent variables used include percentage of poor population (X1), population density (X2), percentage of proper sanitation (X3), percentage of decent homes (X4), number of doctors (X5), percentage of access to improved drinking water (X6), average length of schooling (X7), human development index (X8). In the resulting model, Poisson regression experiences multicollinearity and overdisception occurs. To overcome multicollinearity, variable selection is performed. Based on the measurement of the goodness of the model using AIC, the GPR model provides better accuracy than Poisson regression to model DHF in East Nusa Tenggara which is 218.5.

scholarly journals Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Mohammad Mafijul Islam ◽  
Morshed Alam ◽  
Md Tariquzaman ◽  
Mohammad Alamgir Kabir ◽  
Rokhsona Pervin ◽  
...  
Keyword(s):  
Regression Model ◽  
Poisson Regression ◽  
Poisson Regression Model ◽  
Under Five ◽  
Generalized Poisson ◽  
Malnourished Children ◽  
Generalized Poisson Regression

scholarly journals Efficiency of Zero-Inflated Generalized Poisson Regression Model on Hospital Length of Stay Using Real Data and Simulation Study

2018 ◽  
Vol 3 (1) ◽  
pp. 5-9 ◽  
Author(s):  
Roghaye Farhadi Hassankiadeh ◽  
Anoshirvan Kazemnejad ◽  
Mohammad Gholami Fesharaki ◽  
Siamak Kargar Jahromi ◽  
◽  
...  
Keyword(s):  
Length Of Stay ◽  
Regression Model ◽  
Simulation Study ◽  
Poisson Regression ◽  
Real Data ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Poisson Regression Model ◽  
Generalized Poisson ◽  
Generalized Poisson Regression
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