Sentence examples for maximum likelihood methodology from inspiring English sources

The model coefficients were estimated through maximum likelihood methodology, which was used to produce an unbiased match with the predictions of 3-D analyses and proposed simplified model.

Mean values of critical headways were estimated by using the maximum likelihood methodology [19] for the left- and the right-lane at entries (see Table 2).

Several studies have concluded that the maximum likelihood method is one of the most promising methods for estimating critical headway; general guidelines on how to apply the maximum likelihood methodology to measure critical headway have been already documented [18, 19, 20].

Recall that when using the maximum likelihood methodology [25], the main assumption is that the set of real data is precisely observed because they are more likely to happen than other possible data sets.

The maximum likelihood methodology identified QTL in three LGs (5, 6 and 9) for both traits.

Twinning was detected using Britton analyses, an H-test, and the maximum likelihood methodology as implemented in Xtriage.

The major difference between the topologies obtained by the Bayesian (e.g. molecular morphometrics using partitions) and primary sequence (e.g maximum likelihood) methodologies, was the placement of E. mammosa in and out of Eunicea, which could be due to the lack of phylogenetic signal and the likely saturation of ITS2 sequences after multiple alignment (e.g. [ 5]).

A binary single trait animal model was used to estimate heritabilities and EBV by restricted maximum likelihood methodology implemented in the software ASReml [ 13].

Phylogenetic analysis was conducted using both Bayesian and maximum-likelihood methodologies with the model of amino acid substitution selected using ProtTest3 (version 3.2.1 [ Darriba et al. 2011] see supplementary figs. S1 S7, Supplementary Material online).

Heritability estimates were generated for each trait by restricted maximum likelihood (REML) methodology using univariate analyses with VCE 4.2.5 software (Neumaier and Groeneveld, 1998).

For more complex variance models involving both the factor analytic and pedigree structure, the average information (AI) residual maximum likelihood (REML) methodology requires the formation of both elements of A and A -1 for the score equations and working variables.