Results 21 to 30 of about 17,929,783 (253)
Correction: Quantifier spreading: Children misled by ostensive cues
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
A STUDY OF GENERALIZED LINEAR MIXED MODEL FOR COUNT DATA USING HIERARCHICAL BAYES METHOD
Poisson Log-Normal Model is one of the hierarchical mixed models that can be used for count data. Several estimation methods can be used to estimate the model parameters.
Etis Sunandi +2 more
doaj +1 more source
Impact of urbanization on morbidity of hepatitis A: a national panel study in China during 2005–2018
Background The effect of urbanization on the morbidity of hepatitis A remains unclear. We aimed to estimate the association between various urbanization-related indices and hepatitis A morbidity in China. Methods Data on the annual morbidity of hepatitis
Bo-Wen Ming +6 more
doaj +1 more source
Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs
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
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
Modeling determinants of tourism demand in Colombia [PDF]
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
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
Designs for generalized linear models with several variables and model uncertainty [PDF]
Standard factorial designs may sometimes be inadequate for experiments that aim to estimate a generalized linear model, for example, for describing a binary response in terms of several variables.
D. C. Woods +11 more
core +1 more source
Snow cover extent and distribution over the years have a significant impact on hydrological, terrestrial, and climatologic processes. Snow cover mapping accuracy using remote sensing data is then particularly important. This study analyses Landsat-8 NDSI
Charlotte Poussin +4 more
doaj +1 more source
Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models [PDF]
Background The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals.
Erling Strandberg +21 more
core +1 more source

