Results 21 to 30 of about 628,110 (283)

Investigating the impact of CO2 emissions on the COVID-19 pandemic by generalized linear mixed model approach with inverse Gaussian and gamma distributions

Open Chemistry, 2023
Carbon dioxide (CO2) rate within the atmosphere has been rising for decades due to human activities especially due to usage of fuel types such as coal, cement, flaring, gas, oil, etc.
İyit Neslihan, Sevim Ferhat, Kahraman Ümran Münire   +2 more
doaj   +1 more source

Bayesian Model Selection for Generalized Linear Mixed Models

Biometrics, 2023
AbstractWe propose a Bayesian model selection approach for generalized linear mixed models (GLMMs). We consider covariance structures for the random effects that are widely used in areas such as longitudinal studies, genome-wide association studies, and spatial statistics.
Shuangshuang Xu, Marco A. R. Ferreira, Erica M. Porter, Christopher T. Franck   +3 more
openaire   +3 more sources

Correction: Quantifier spreading: Children misled by ostensive cues

Glossa, 2019
This article details a correction to the article É. Kiss, Katalin & Tamás Zétényi. 2017. Quantifier spreading: children misled by ostensive cues. Glossa: A Journal of General Linguistics 2(1). 38.
Katalin É. Kiss, Katalin Mády, Tamás Zétényi   +2 more
doaj   +2 more sources

Child stunting prevalence determination at sector level in Rwanda using small area estimation

BMC Nutrition, 2023
Background Stunting among children under 5 years of age remains a worldwide concern, with 148.1 million (22.3%) stunted in 2022. The recent 2019/2020 Rwanda Demographic Health Survey (RDHS) revealed that the prevalence of stunting in Rwanda among under ...
Innocent Ngaruye, Joseph Nzabanita, François Niragire, Theogene Rizinde, Joseph Nkurunziza, Jean Bosco Ndikubwimana, Charles Ruranga, Ignace Kabano, Dieudonne N. Muhoza, Jeanine Ahishakiye   +9 more
doaj   +1 more source

Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm.

PLoS ONE, 2021
Binary Generalized Linear Mixed Model (GLMM) is the most common method used by researchers to analyze clustered binary data in biological and social sciences.
Chénangnon Frédéric Tovissodé, Aliou Diop, Romain Glèlè Kakaï   +2 more
doaj   +1 more source

Modeling determinants of tourism demand in Colombia [PDF]

Tourism and Hospitality Management, 2020
Purpose – This paper estimates the determinants of international tourist arrivals to Colombia from 1995 to 2014. Design – Tourist demand is related to interlinking relationships between origins and destinations. The international movement of travelers
Juan Vanegas, Marisol Valencia, Jorge Restrepo, Guberney Muñeton   +3 more
doaj   +1 more source

A generalized linear mixed model for longitudinal binary data with a marginal logit link function [PDF]

, 2011
Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudinal binary data is that the marginal functional form, when integrated over
Fitzmaurice, Garrett M., Ghosh, Souparno, Ibrahim, Joseph G., Lipsitz, Stuart, Mallick, Bani K., Parzen, Michael, Sinha, Debajyoti   +6 more
core   +3 more sources

Simultaneous Inference in General Parametric Models [PDF]

, 2008
Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level ...
Bates, Bates, Bretz, Bretz, Bullinger, Bönsch, Garcia, Genz, Genz, Genz, Hochberg, Hothorn, Hothorn, Hsu, Marcus, R Development Core Team, Rousseeuw, Salib, Searle, Serfling, Shaffer, Stefanski, Todorov, Tong, Westfall, Westfall, Westfall, Yohai, Zeileis, Zeileis   +29 more
core   +3 more sources

General Design Bayesian Generalized Linear Mixed Models

Statistical Science, 2006
Published at http://dx.doi.org/10.1214/088342306000000015 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Zhao, Yihua, Staudenmayer, John, Coull, Brent, Wand, M.   +3 more
openaire   +4 more sources

Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs

Animal, 2008
Genetics affects not only the weight of piglets at birth but also the variability of birth weight within litter. Previous studies on this topic assigned the sample standard deviation of piglet birth weights within litter as an observation to the sow ...
D. Wittenburg, V. Guiard, F. Teuscher, N. Reinsch   +3 more
doaj   +1 more source