Results 51 to 60 of about 594,285 (313)

Triggering factors associated with the utilization of antenatal care visits in Bangladesh: An application of negative binomial regression model

, 2020
Objectives Antenatal care has several benefits for expecting mothers and birth outcomes and this study attempts to investigate the prevalence and estimate the risk factors of antenatal care visits utilization in Bangladesh.
M. Islam, Md. Rasel Kabir, A. Talukder
semanticscholar   +1 more source

Application of negative binomial regression in analyzing factors that influence stunting in toddlers

Desimal
Stunting is a growth and development disorder caused by a lack of nutrition. This research aims to determine the significant factors that influence cases of stunting among toddlers in North Sumatra province in 2022. By using Negative Binomial Regression,
Allifiyani Tamimi, Ismail Husein
doaj   +1 more source

Visualizing Count Data Regressions Using Rootograms [PDF]

, 2014
The rootogram is a graphical tool associated with the work of J. W. Tukey that was originally used for assessing goodness of fit of univariate distributions.
Kleiber, Christian, Zeileis, Achim
core   +3 more sources

Overdisp: A Stata (and Mata) Package for Direct Detection of Overdispersion in Poisson and Negative Binomial Regression Models

, 2020
Stata has several procedures that can be used in analyzing count-data regression models and, more specifically, in studying the behavior of the dependent variable, conditional on explanatory variables.
L. Fávero, P. Belfiore, Marco Aurélio dos Santos, R. F. Souza   +3 more
semanticscholar   +1 more source

PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten)

E-Jurnal Matematika, 2014
Poisson regression is a nonlinear regression that is often used to model count response variable and categorical, interval, or count regressor. This regression assumes equidispersion, i.e., the variance equals the mean.
NI MADE RARA KESWARI, I WAYAN SUMARJAYA, NI LUH PUTU SUCIPTAWATI   +2 more
doaj   +1 more source

Random-Parameter Multivariate Negative Binomial Regression for Modeling Impacts of Contributing Factors on the Crash Frequency by Crash Types

Discrete Dynamics in Nature and Society, 2020
Highways provide the basis for safe and efficient driving. Road geometry plays a critical role in dynamic driving systems. Contributing factors such as plane, longitudinal alignment, and traffic volume, as well as drivers’ sight characteristics ...
Chenzhu Wang, Fei Chen, Jianchuan Cheng, Wu Bo, Ping Zhang, Mingyu Hou, Feng Xiao   +6 more
semanticscholar   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON

E-Jurnal Matematika, 2013
Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance.
PUTU SUSAN PRADAWATI, KOMANG GDE SUKARSA, I GUSTI AYU MADE SRINADI   +2 more
doaj   +1 more source

A Negative Binomial Regression Model of Student Absenteeism in the Principles of Microeconomics

Engineering Proceedings, 2023
We investigated the determinants of absenteeism in the Principles of Microeconomics at a rural state university in Pennsylvania. We apply Poisson statistics and a negative binomial of both Type 1 and 2 models to estimate absenteeism behavior.
Chen Chen, Shih-Shen Chen, Chin W. Yang
doaj   +1 more source

Negative Binomial Regression

The Mathematica Journal, 2013
where m > 0 is the mean of Y and a > 0 is the heterogeneity parameter. Hilbe [1] derives this parametrization as a Poisson-gamma mixture, or alternatively as the number of failures before the H1 e aLth success, though we will not require 1 e a to be an integer.
openaire   +1 more source