Modeling underdispersed count data with generalized Poisson regression [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2012 We present motivation and new Stata commands for modeling count data. While the focus of this article is on modeling data with underdispersion, the new command for fitting generalized Poisson regression models is also suitable as an alternative to negative binomial regression for overdispersed data.
Harris, Tammy +5 more
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The Applications of Generalized Poisson Regression Models to Insurance Claim Data
Risks, 2023 Predictive modeling has been widely used for insurance rate making. In this paper, we focus on insurance claim count data and address their common issues with more flexible modeling techniques.
Pouya Faroughi, Shu Li, Jiandong Ren
doaj +2 more sources
Multivariate Analysis of Fertility: an Application of the Generalized Poisson Regression Model [PDF]
Statistika: Statistics and Economy Journal, 2021 Total fertility rate (TFR) is a standard measure commonly used to estimate fertility levels and trends. However, TFR is a period measure and does not offer reasons for observed variations in fertility rates and trends.
Adelaide Agyeman
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The handling of overdispersion on Poisson regression model with the generalized Poisson regression model [PDF]
AIP Conference Proceedings, 2021 Regression model is used to model the relationship between predictor variables and response variable. In case that the response variable are Poisson distributed, Poisson regression model can be used to model the relationship. An assumption that must be fulfilled on Poisson distribution is the mean value of data equals to the variance value (or so ...
Dewi Retno Sari Saputro +2 more
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A hybrid model of spatial autoregressive-multivariate adaptive generalized Poisson regression spline [PDF]
Decision Science Letters, 2023 Several Multivariate Adaptive Regression Spline (MARS) approaches are available to model categorical and numerical (especially continuous) data.
Septia Devi Prihastuti Yasmirullah +3 more
doaj +1 more source
Modelling Generalized Poisson Regression in the Number of Dengue Hemorrhagic Fever (DHF) in East Nusa Tenggara [PDF]
E3S Web of Conferences, 2020 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.
Prahutama Alan +2 more
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POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
Barekeng, 2023 Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases.
Yekti Widyaningsih +1 more
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OPTIMASI MODEL GENERALIZED POISSON REGRESSION MENGGUNAKAN ALGORITME GENETIKA [PDF]
, 2020 Regresi Poisson merupakan salah satu model regresi yang menggunakan data diskret untuk variabel respon. Variabel respon pada model regresi Poisson harus mengikuti distribusi Poisson, dengan asumsi rataan variabel respon sama dengan variansnya. Namun pada kondisi riil, asumsi tersebut jarang ditemui.
AJENG DAMARA ERFATIA, .
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Modelling children ever born using performance evaluation metrics: A dataset
Data in Brief, 2021 Predicting the number of total children ever born in a country is a key component for proper implementation of economic growth policy. Here, performance metrics were used to predict models that appropriately describe the factors that affect children ever
Jecinta U. Ibeji +3 more
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POISSON REGRESSION MODELING GENERALIZED IN MATERNAL MORTALITY CASES IN ACEH TAMIANG REGENCY
Barekeng, 2023 Maternal Mortality Rate (MMR) is the number of maternal deaths due to the process of pregnancy, childbirth, and postpartum which is used as an indicator of women's health degrees.
Riska Novita Sari +2 more
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