A Linear Mixed-Effects Model of Wireless Spectrum Occupancy
EURASIP Journal on Wireless Communications and Networking, 2010 We provide regression analysis-based statistical models to explain the usage of wireless spectrum across four mid-size US cities in four frequency bands.
Pagadarai Srikanth, Wyglinski AlexanderM
doaj +4 more sources
Admissibility of Continuous Unbiased Estimators in Linear Mixed Models [PDF]
The Egyptian Statistical Journal, 1991 For a given linear function of the fixed effects in the usual mixed linear model, within the class of estimators, a discontinuous unbiased estimator is introduced.
Samia El-arishy
doaj +1 more source
A multiphase non-linear mixed effects model: An application to spirometry after lung transplantation. [PDF]
Stat Methods Med Res, 2017 Rajeswaran J, Blackstone EH.
europepmc +2 more sources
Modified BIC Criterion for Model Selection in Linear Mixed Models
Mathematics, 2023 Linear mixed-effects models are widely used in applications to analyze clustered, hierarchical, and longitudinal data. Model selection in linear mixed models is more challenging than that of linear models as the parameter vector in a linear mixed model ...
Hang Lai, Xin Gao
doaj +1 more source
EcoCountHelper: an R package and analytical pipeline for the analysis of ecological count data using GLMMs, and a case study of bats in Grand Teton National Park [PDF]
PeerJ, 2022 Here we detail the use of an R package, ‘EcoCountHelper’, and an associated analytical pipeline aimed at making generalized linear mixed-effects model (GLMM)-based analysis of ecological count data more accessible.
Hunter J. Cole +2 more
doaj +2 more sources
Association Analysis of Agronomic Traits in Common Millet (Punicum miliaceam) under Drought Stress Conditions Using AFLP Marker [PDF]
مجله بیوتکنولوژی کشاورزی, 2019 Objective The aim of this research was to identify marker loci associated with some agronomic traits under drought stress conditions in Common millet.
zahra alizadeh +3 more
doaj +1 more source
Bayesian linear mixed model with multiple random effects for family-based genetic studies
Frontiers in Genetics, 2023 Motivation: Family-based study design is one of the popular designs used in genetic research, and the whole-genome sequencing data obtained from family-based studies offer many unique features for risk prediction studies. They can not only provide a more
Yang Hai +4 more
doaj +1 more source
The geometry of the lactation curve based on Wood's equation: a two-step prediction
Revista Brasileira de Zootecnia, 2020 Lactation records from cows of the southwestern Paraná state, Brazil, form the dataset of this study. We applied the information-theoretic approach to evaluate the ability of the nonlinear Wood, Brody, Dijkstra, and Gamma functions to fit to these data ...
Jhone Gleison de Oliveira +6 more
doaj +1 more source
Applying Linear Mixed Effects Models with Crossed Random Effects to Psycholinguistic Data: Multilevel Specification and Model Selection. [PDF]
Tutorials in Quantitative Methods for Psychology, 2015 Applying linear mixed effects regression (LMER) models to psycholinguistic data was made popular by Baayen, Davidson, and Bates (2008). However, applied researchers sometimes encounter model specification difficulties when using such models.
Hsiu-Ting Yu
doaj +2 more sources
Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model
Journal of Imaging, 2020 Much recent research focuses on how to make disease detection more accurate as well as “slimmer”, i.e., allowing analysis with smaller datasets. Explanatory models are a hot research topic because they explain how the data are generated.
Wenyue Zhu +5 more
doaj +1 more source