Results 21 to 30 of about 627,717 (264)
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 +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 +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 +9 more
doaj +1 more source
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 +2 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. +6 more
core +3 more sources
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 +3 more
doaj +1 more source
Varying coefficient models as Mixed Models : reparametrization methods and bayesian estimation [PDF]
, 2013 Non-linear relationships are accommodated in a regression model using smoothing functions. Interaction may occurs between continuous variable, in this case interaction between nonlinear and linear covariate leads to varying coefficent model (VCM), a ...
Freni Sterrantino, Anna
core +1 more source
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 +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 +3 more
doaj +1 more source
A Generalized Linear Mixed Model for Data Breaches and Its Application in Cyber Insurance
Risks, 2022 Data breach incidents result in severe financial loss and reputational damage, which raises the importance of using insurance to manage and mitigate cyber related risks.
Meng Sun, Yi Lu
doaj +1 more source