The subset argument and consistency of MLE in GLMM: Answer to an open problem and beyond [PDF]
, 2013 We give answer to an open problem regarding consistency of the maximum likelihood estimators (MLEs) in generalized linear mixed models (GLMMs) involving crossed random effects.
Jiang, Jiming
core +1 more source
Analysis of Fluid Velocity inside an Agricultural Sprayer Using Generalized Linear Mixed Models
Applied Sciences, 2020 The fluid velocity inside the tank of agricultural sprayers is an indicator of the quality of the mixture. This study aims to formulate the best generalized linear mixed model to infer the fluid velocity inside a tank under specific operational ...
Ángel Javier Aguirre +6 more
doaj +1 more source
Misspecification in Generalized Linear Mixed Models and Its Impact on the Statistical Wald Test
Applied Sciences, 2023 Generalized linear mixed models are commonly used in repeated measurement studies and account for the dependence between observations obtained from the same experimental unit.
Diana Arango-Botero +2 more
doaj +1 more source
Global and local distance-based generalized linear models [PDF]
, 2016 This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these models is proposed by means of local
Boj, Eva +4 more
core +1 more source
BMC Bioinformatics, 2020 Background Power analysis becomes an inevitable step in experimental design of current biomedical research. Complex designs allowing diverse correlation structures are commonly used in RNA-Seq experiments.
Lianbo Yu, Soledad Fernandez, Guy Brock
doaj +1 more source
Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models [PDF]
Hydrology and Earth System Sciences, 2010 Sediment, Total Organic Carbon (TOC) and total nitrogen (TN) accumulation during one overbank flood (1.15 y return interval) were examined at one reach of the Middle Ebro River (NE Spain) for elucidating spatial patterns. To achieve this goal, four areas
A. Cabezas +4 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
Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits [PDF]
, 2014 A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications.
Labouriau, Rodrigo +2 more
core +2 more sources
Effect of imperfect detection on the estimation of niche overlap between two forest dormice
iForest - Biogeosciences and Forestry, 2018 Quantification of niche overlap represents an important topic in several aspects of ecology and conservation biology, although it could be potentially affected by imperfect detection, i.e., failure to detect a species at occupied sites.
Paniccia C +8 more
doaj +1 more source
Bayesian inference for generalized linear mixed models [PDF]
Biostatistics, 2009 Generalized linear mixed models (GLMMs) continue to grow in popularity due to their ability to directly acknowledge multiple levels of dependency and model different data types. For small sample sizes especially, likelihood-based inference can be unreliable with variance components being particularly difficult to estimate.
Fong, Youyi +2 more
openaire +3 more sources