Geographically weighted generalized poisson regression model with the best kernel function in the case of the number of postpartum maternal mortality in east java [PDF]
MethodsX, 2023 This study proposes a Geographically Weighted Generalized Poisson Regression (GWGPR) model with the best kernel function to obtain a model of the number of postpartum maternal mortality in East Java Province in 2020 and determine the factors that affect ...
Sischa Wahyuning Tyas +2 more
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A New Poisson Generalized Lindley Regression Model
Austrian Journal of Statistics, 2023 In this paper, a new count distribution is introduced. It is a mixture of the Poisson and generalized Lindley distributions. Statistical properties of the proposed distribution including the factorial moments, probability generating function, moment ...
Yupapin Atikankul
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Geographically weighted bivariate zero inflated generalized Poisson regression model and its application [PDF]
Heliyon, 2021 This study discusses the development of Zero Inflated Generalized Poisson Regression (ZIGPR) with two response variables, that is Bivariate ZIGPR (BZIGPR). The extension of the ZIGPR model by considering spatial factor called Geographically Weighted Zero
Purhadi +3 more
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Determination of the best multivariate adaptive geographically weighted generalized Poisson regression splines model employing generalized cross-validation in dengue fever cases [PDF]
MethodsX, 2023 This article constructs a new model based on multivariate adaptive generalized Poisson regression splines (MAGPRS) and geographically weighted generalized Poisson regression (GWGPR), which is known as multivariate adaptive geographically weighted ...
Riry Sriningsih +2 more
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BarekengIn line with the Sustainable Development Goals (SDGs), the Infant Mortality Rate (AKB) is a very important health indicator, especially in neonatal and perinatal care. West Java Province consistently ranks third nationally in terms of infant mortality in
Toha Saifudin +6 more
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Development of the generalized ridge estimator for the Poisson-Inverse Gaussian regression model with multicollinearity [PDF]
Scientific ReportsThe Poisson-Inverse Gaussian regression model is a widely used method for analyzing count data, particularly in over-dispersion. However, the reliability of parameter estimates obtained through maximum likelihood estimation in this model can be ...
Fatimah A. Almulhim +5 more
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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
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Barekeng, 2022 Traffic accidents that always increase along with the increasing population growth and the number of vehicles impact the national economy. The number of traffic accidents is a count data that a Poisson distribution can approximate. The Poisson regression
M Al Haris, Prizka Rismawati Arum
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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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