Results 71 to 80 of about 46,336 (180)
Maximum Lilkelihood and Restricted Maximum Likelihood Estimation for a Class of Gaussian Markov Random Fields [PDF]
This work describes a Gaussian Markov random field model that includes several previously proposed models, and studies properties of their maximum likelihood (ML) and restricted maximum likelihood (REML) estimators in a special case.
Victor De Oliveira
core
Sea-surface pCO2 maps for the Bay of Bengal based on advanced machine learning algorithms
Lack of sufficient observations has been an impediment for understanding the spatial and temporal variability of sea-surface pCO2 for the Bay of Bengal (BoB).
A.P. Joshi +3 more
doaj +1 more source
Perspectives from agriculture: advances in livestock breeding - implications for aquaculture genetics [PDF]
In this paper we present livestock breeding developments that could be taken into consideration in the genetic improvement of farmed aquaculture species, especially in freshwater fish.
Nguyen, N.H., Ponzoni, R.W.
core
Selection of sugarcane families and parents by Reml/Blup
Were evaluated 113 full-sib families obtained by unbalanced diallel matings in three experiments in an augmented block design (ABD) planted side by side in the same area. The individual and joint analyses of the experiments were performed by the Reml/Blup method.
M.H.P. Barbosa +4 more
openaire +1 more source
Dados de suínos Large White (LW), Landrace (LD) e Duroc (DU) foram utilizados na estimação dos componentes de variância para peso ajustado aos 70 dias (PA70), ganho de peso diário (GPD) e espessura de toucinho (ET).
André Ribeiro Corrêa da Costa +6 more
doaj +1 more source
Fitting Linear Mixed-Effects Models Using lme4
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in
Douglas Bates +3 more
doaj +1 more source
The objective of this research was to compare the magnitude of genetic parameters (coefficients of heritability and genetic correlation) as estimated by the Restricted Maximum Likelihood (REML) method and Bayesian Inference, and to estimate the genetic ...
Mariana de Almeida Dornelles +7 more
doaj +1 more source
Out of Sample Estimation for Small Areas using Area Level Data
A Fay-Herriot type model with independent area effects is often assumed when small area estimates based on area level data are required. However, under this approach out of sample areas are limited to synthetic estimates.
Chambers, Ray, Saei, Ayoub
core
O objetivo do trabalho foi comparar, por meio de simulação, as estimativas de componentes de variância produzidas pelos métodos ANOVA (análise da variância), ML (máxima verossimilhança), REML (máxima verossimilhança restrita) e MIVQUE(0) (estimador ...
João Batista Duarte +2 more
doaj +1 more source
Selection of umbu-cajazeira clones using the REML/BLUP
Genetic parameters and genotypic values of fruits from umbu-cajazeira clones were determined using the restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) method, from the morphological, physicochemical and chemical characterization of fruits.
E.L.M. Yamamoto +6 more
openaire +2 more sources

