Results 31 to 40 of about 3,863,679 (333)

Balancing Type I Error and Power in Linear Mixed Models [PDF]

open access: yes, 2015
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]

open access: yesCrop Breeding and Applied Biotechnology, 2014
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  

Genetic parameters and alternatives for evaluation and ranking of Nellore young bulls in pasture performance tests

open access: yesRevista Brasileira de Zootecnia, 2013
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

Ganhos genéticos preditos por diferentes métodos de seleção em progênies de Eucalyptus urophylla Predicted genetic gains by various selection methods in Eucalyptus urophylla progenies

open access: yesPesquisa Agropecuária Brasileira, 2009
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]

open access: yes, 2012
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

open access: yes, 2017
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

Drivers of flea abundance in wild rodents across local and regional scales in the Chihuahuan Desert, northwestern Mexico

open access: yesEcosphere, 2022
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

open access: yesbioRxiv, 2020
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 de parâmetros e tendências genéticas para algumas características de importância econômica em linhagem paterna de frangos de corte sob seleção Estimates of genetic parameters and trends for performance traits in paternal broiler lineages under selection

open access: yesRevista Brasileira de Zootecnia, 2008
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

open access: yes, 2016
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

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