A New Poisson Generalized Lindley Regression Model [PDF]
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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NEGATIVE BINOMIAL REGRESSION AND GENERALIZED POISSON REGRESSION MODELS ON THE NUMBER OF TRAFFIC ACCIDENTS IN CENTRAL JAVA [PDF]
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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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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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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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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A multi-predictor nonparametric local linear generalized Poisson regression model for overdispersed count data [PDF]
MethodsXGeneralized Poisson regression is widely used for modeling overdispersed count data; however, existing nonparametric local linear generalized Poisson regression methods are generally restricted to a single predictor, limiting their applicability to ...
Darnah +13 more
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Modelling fertility levels in Nigeria using Generalized Poisson regression-based approach
Scientific 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
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PENERAPAN REGRESI GENERALIZED POISSON UNTUK MENGATASI FENOMENA OVERDISPERSI PADA KASUS REGRESI POISSON [PDF]
E-Jurnal Matematika, 2013 The Poisson regression is generally used to analyze the response variable that is a discrete data. Poisson regression has assumption which must be met, that is condition equidispersion.
I PUTU YUDANTA EKA PUTRA +2 more
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Mathematics, 2020 We introduce a new multivariate regression model based on the generalized Poisson distribution, which we called geographically-weighted multivariate generalized Poisson regression (GWMGPR) model, and we present a maximum likelihood step-by-step procedure
Sarni Maniar Berliana +3 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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