Sentence examples for using a restricted maximum from inspiring English sources

Continuous variables were analyzed using a restricted maximum likelihood analysis, based on repeated measures approach, including the independent 'treatment' variable, the repeated 'time of assessment' variable and their interaction as factors.

Therefore, we explored the relationship between these variables and the magnitude of the treatment effect (Hedges' g) using a restricted maximum likelihood multiple meta-regression (random effects) model that controlled for potential confounders.

Using a restricted maximum likelihood estimator (commonly referred to as REML in the literature), one can obtain estimates of heritability without resorting to twins' data.42 However, the identifying assumption appears strong to individuals trained as labor economists, and it is plausible that one can develop tests similar to understanding whether selection on observables leads to balance.

The most appropriate covariate structure was selected based on the likelihood ratio test using a restricted maximum likelihood model for estimations.

The variance components were estimated under the assumption of gaussian errors using a restricted maximum likelihood approach coping with the unbalanced data due to missing spots.

Comparison of models with differing random effects was done using a restricted maximum likelihood approach, while a maximum likelihood approach was used for comparing models with differing fixed effects [17].

We used a restricted maximum likelihood (REML) estimator for between-study variance [ 21– 23].

We used a restricted maximum likelihood (REML) approach to fit a linear mixed effects model to the field traits and partition the variation of each among the fixed effects, genotype, environment, treatment and the random factor, plot nested within treatment and environment.

This was achieved by deriving a genomic relationship matrix (GRM) [ 34] for each class, and then estimating the proportion of total variance explained by the variants using the GRM in a restricted maximum likelihood (REML) analysis.

We used Stata v12.1 and a restricted maximum likelihood algorithm with the "xtmixed" command.

Data for above-ground attributes were analysed using mixed effects models with a restricted maximum likelihood (REML) approach.