Journal of Biostatistics and Epidemiology, 2021 Introduction: The need to model the impact of some demographic indicators on the frequency of household visits to healthcare centres in Nigeria's community is very important for preventing and spreading community diseases. This study aimed to investigate
Samuel Olorunfemi Adams +2 more
doaj +1 more source
Covid-19 Data Analysis in Tarakan with Poisson Regression and Spatial Poisson Process
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2023 COVID-19 entered Indonesia in March 2020 and included North Kalimantan Province, Tarakan. COVID-19 cases have outspread in Tarakan. The cause of the outspread and the patterns were not known yet. One relevant approach was to use Generalized Linear Models.
A'yunin Sofro +2 more
doaj +1 more source
The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations [PDF]
, 2015 In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs which handles count data.
Buelens, B. +7 more
core +2 more sources
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 Babu Chatla, Galit Shmueli
openaire +3 more sources
PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF
Media Statistika, 2011 Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data.
Rio Tongaril Simarmata, Dwi Ispriyanti
doaj +1 more source
A generalized right truncated bivariate Poisson regression model with applications to health data. [PDF]
PLoS ONE, 2017 A generalized right truncated bivariate Poisson regression model is proposed in this paper. Estimation and tests for goodness of fit and over or under dispersion are illustrated for both untruncated and right truncated bivariate Poisson regression models
M Ataharul Islam, Rafiqul I Chowdhury
doaj +1 more source
JFMR-Journal of Fisheries and Marine Research, 2021 Fitoplankton adalah organisme akuatik yang memegang peranan penting di ekosistem perairan karena merupakan produsen utama dalam ratai makanan. Pertumbuhan fitoplankton sangat tergantung dari ketersediaan nutrient (nitrat dan fosfat) yang ada di perairan.
Evellin Dewi Lusiana +3 more
doaj +1 more source
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
doaj
Generalized additive modelling with implicit variable selection by likelihood based boosting [PDF]
, 2004 The use of generalized additive models in statistical data analysis suffers from the restriction to few explanatory variables and the problems of selection of smoothing parameters.
Binder, Harald, Tutz, Gerhard
core +2 more sources
Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
, 2020 Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien +3 more
core +1 more source