Results 11 to 20 of about 9,752,607 (260)
Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation [PDF]
, 2011 Generalized linear mixed models are a widely used tool for modeling longitudinal data. However, their use is typically restricted to few covariates, because the presence of many predictors yields unstable estimates.
Groll, Andreas
core +3 more sources
Flexible semiparametric mixed models [PDF]
, 2005 In linear mixed models the influence of covariates is restricted to a strictly parametric form. With the rise of semi- and nonparametric regression also the mixed model has been expanded to allow for additive predictors.
Reithinger, Florian, Tutz, Gerhard
core +1 more source
Scientia Agricola, 2020 : The purpose of this study was to conduct selection, genetic parameter estimation, and prediction of genetic values for 18 S1 families of guava trees using mixed model methodology and simultaneous selection of traits by means of the additive selection ...
Moisés Ambrósio +7 more
doaj +1 more source
Estimation of genetic parameters and verification of early selection efficiency in baru (Dipteryx alata) [PDF]
Crop 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
Pesquisa 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
Age and diet shape the genetic architecture of body weight in diversity outbred mice
eLife, 2022 Understanding how genetic variation shapes a complex trait relies on accurately quantifying both the additive genetic and genotype–environment interaction effects in an age-dependent manner. We used a linear mixed model to quantify diet-dependent genetic
Kevin M Wright +6 more
doaj +1 more source
A review of R-packages for random-intercept probit regression in small clusters
Frontiers in Applied Mathematics and Statistics, 2016 Generalized Linear Mixed Models (GLMMs) are widely used to model clustered categorical outcomes. To tackle the intractable integration over the random effects distributions, several approximation approaches have been developed for likelihood-based ...
Haeike Josephy, Tom Loeys, Yves Rosseel
doaj +1 more source
Stability and adaptability of curled green-leaf lettuce lines using the REML/Blup mixed model [PDF]
Pesquisa Agropecuária Brasileira, 2018 : The objective of this work was to estimate the stability and genotypic adaptability of advanced lines and cultivars of curled green-leaf lettuce (Lactuca sativa), in different growing environments and seasons, using the REML/Blup mixed model.
Willame dos Santos Candido +6 more
doaj +1 more source
Mixed effect models in distance sampling [PDF]
, 2013 Recently, much effort has been expended for improving conventional distance sampling methods, e.g. by replacing the design-based approach with a model-based approach where observed counts are related to environmental covariates (Hedley and Buckland, 2004)
Oedekoven, Cornelia Sabrina
core +2 more sources