Results 31 to 40 of about 98,054 (289)
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
Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting [PDF]
, 2011 With the emergence of semi- and nonparametric regression the generalized linear mixed model has been expanded to account for additive predictors. In the present paper an approach to variable selection is proposed that works for generalized additive mixed
Groll, Andreas, Tutz, Gerhard
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
Modelling count data with overdispersion and spatial effects [PDF]
, 2005 In this paper we consider regression models for count data allowing for overdispersion in a Bayesian framework. We account for unobserved heterogeneity in the data in two ways. On the one hand, we consider more flexible models than a common Poisson model
Czado, Claudia, Gschlößl, Susanne
core +4 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
doaj
Penalized additive regression for space-time data: a Bayesian perspective [PDF]
, 2003 We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Fahrmeir, Ludwig +2 more
core +3 more sources
E-Jurnal Matematika, 2012 This study aims to determine factors that influence the number of high/vocational school students that do not pass the examination in Bali in 2011. Factors that used in this study are the external factors include the proportion of public high/vocational
KOMANG AYU YULIANINGSIH +2 more
doaj +1 more source