Results 11 to 20 of about 31,545 (295)
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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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
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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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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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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
AJENG DAMARA ERFATIA, .
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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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Journal of New Theory, 2021 The Poisson regression model is widely used for count data. This model assumes equidispersion. In practice, equidispersion is seldom reflected in data. However, in real-life data, the variance usually exceeds the mean.
Burcu Durmuş, Öznur İşçi Güneri
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Efficient estimation of COM–Poisson regression and a generalized additive model [PDF]
Computational Statistics & Data Analysis, 2018 The Conway-Maxwell-Poisson (CMP) or COM-Poison regression is a popular model for count data due to its ability to capture both under dispersion and over dispersion. However, CMP regression is limited when dealing with complex nonlinear relationships. With today's wide availability of count data, especially due to the growing collection of data on human
Suneel Chatla, Galit Shmueli
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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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