Results 21 to 30 of about 17,397,225 (294)

Peer Effects on Vocabulary Knowledge: A Linear Quantile Mixed-Modeling Approach

open access: yesEducation Sciences, 2018
Do your peers in the classroom have an effect on your vocabulary learning? The purpose of this study was to determine if group-level peer characteristics and group-level peer achievement account for individual-level differences in vocabulary achievement ...
Jamie M. Quinn   +2 more
doaj   +1 more source

Species Distribution Modeling: Comparison of Fixed and Mixed Effects Models Using INLA

open access: yesISPRS International Journal of Geo-Information, 2017
Invasive alien species are among the most important, least controlled, and least reversible of human impacts on the world’s ecosystems, with negative consequences affecting biodiversity and socioeconomic systems. Species distribution models have become a
Lara Dutra Silva   +3 more
doaj   +1 more source

Small area prediction of quantiles for zero-inflated data and an informative sample design

open access: yesStatistical Theory and Related Fields, 2019
The Conservation Effects Assessment Project (CEAP) is a survey intended to quantify soil and nutrient loss on cropland. Estimates of the quantiles of CEAP response variables are published.
Emily Berg, Danhyang Lee
doaj   +1 more source

Mixed-effects regression models predicting media attention towards COVID-19.

open access: yes, 2022
Mixed-effects regression models predicting media attention towards COVID-19.
Reuben Ng (692015), Yi Wen Tan (7463702)
core   +1 more source

Conditional Model Selection in Mixed-Effects Models with cAIC4

open access: yesJournal of Statistical Software, 2021
Model selection in mixed models based on the conditional distribution is appropriate for many practical applications and has been a focus of recent statistical research.
Benjamin Säfken   +3 more
doaj   +1 more source

Smooth-car mixed models for spatial count data [PDF]

open access: yes, 2008
Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Durbán, María, Lee, Dae-Jin
core   +1 more source

An application of mixed-effect models to analyse contraceptive use in Malawian women

open access: yesContraception and Reproductive Medicine, 2019
In Malawi, the current approach to family planning using contraceptive methods is individualised, yet studies have shown that variability in contraceptive-use still remains after accounting for it at individual and household levels. Therefore, this study
Davis James Makupe   +2 more
doaj   +1 more source

Mixed Effects in Stochastic Differential Equation Models

open access: yesRevstat Statistical Journal, 2005
A class of statistical models is proposed where random effects are incorporated into a stochastic differential equations model, and an expression for the likelihood function is derived.
Susanne Ditlevsen , Andrea De Gaetano
doaj   +1 more source

Mixed-effects model coefficients for the models using DHM + Cloud (CLTa) or Solar radiation (RSDSa) metrics.

open access: yes, 2023
Mixed-effects model coefficients for the models using DHM + Cloud (CLTa) or Solar radiation (RSDSa) metrics.
Pedro C. González-Espinosa (14587429)   +1 more
core   +1 more source

Bayesian Linear Mixed Models with Polygenic Effects

open access: yesJournal of Statistical Software, 2018
We considered Bayesian estimation of polygenic effects, in particular heritability in relation to a class of linear mixed models implemented in R (R Core Team 2018).
Jing Hua Zhao   +2 more
doaj   +1 more source

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