Results 31 to 40 of about 3,863,679 (333)
Balancing Type I Error and Power in Linear Mixed Models [PDF]
Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statistical inference in factorial psycholinguistic experiments.
Hannes Matuschek +4 more
semanticscholar +1 more source
Estimation of genetic parameters and verification of early selection efficiency in baru (Dipteryx alata) [PDF]
This study aimed at verifying the efficiency of early selection, and estimating the genetic parameters in Dipteryx alata. The 66 half-sib families were obtained from three seed provenances at the Brazilian Savannah of the state of Minas Gerais.
Alisson Moura Santos +2 more
doaj
The objective of this study was to estimate (co)variance components for weight at 550 days, average daily gain and an index with both traits, and to compare alternatives for evaluation and ranking of Nellore young bulls in pasture performance tests.
Breno de Oliveira Fragomeni +5 more
doaj +1 more source
O objetivo deste trabalho foi avaliar parâmetros genéticos e comparar os ganhos preditos por meio de diferentes métodos de seleção em famílias de meios-irmãos de Eucalyptus urophylla.
Antônio Marcos Rosado +4 more
doaj +1 more source
Generalized fiducial inference for normal linear mixed models [PDF]
While linear mixed modeling methods are foundational concepts introduced in any statistical education, adequate general methods for interval estimation involving models with more than a few variance components are lacking, especially in the unbalanced ...
Cisewski, Jessi, Hannig, Jan
core +4 more sources
lmerTest Package: Tests in Linear Mixed Effects Models
One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects returned by lmer?
A. Kuznetsova +2 more
semanticscholar +1 more source
The broad distribution of macroparasites and their thriving populations are matters of health and economic concern. Macroparasites cause damage both directly through their feeding habits, which impact host fitness, and indirectly through the transmission
Paulina A. Pontifes +4 more
doaj +1 more source
partR2: partitioning R2 in generalized linear mixed models
The coefficient of determination R2 quantifies the amount of variance explained by regression coefficients in a linear model. It can be seen as the fixed-effects complement to the repeatability R (intra-class correlation) for the variance explained by ...
M. Stoffel, S. Nakagawa, H. Schielzeth
semanticscholar +1 more source
Estimativas dos parâmetros genéticos e fenotípicos de algumas características produtivas em linhagem paterna de matrizes de frango de corte foram obtidas utilizando-se a metodologia de modelos mistos.
Stela Adami Vayego +2 more
doaj +1 more source
Generalized Functional Additive Mixed Models
We propose a comprehensive framework for additive regression models for non-Gaussian functional responses, allowing for multiple (partially) nested or crossed functional random effects with flexible correlation structures for, e.g., spatial, temporal, or
Gertheiss, Jan +2 more
core +1 more source

