Sentence examples for both the linear model from inspiring English sources

Variance components were analyzed using cross-sectional models, and moderate to high heritability was estimated for vibrio resistance in both the linear model (0.31 0.32) and the sire-dam threshold model (0.53) but not in the animal threshold model (0.006).

To show how sensing range affects lifetime, we design a new network setting with sensing range of Type 1 sensor in NS1 increased from 25 to 50 with an increment of 5. We evaluate both the linear model e s = e0 · d and the quadratic model e s = e1 · d 2 proposed in [18].a We normalize sensing energy to 1 when the transmitting range is 30, so e 0 = 1 30, and e 1 = 1 900.

The theta network performed better than both the linear model and the Mermelstein algorithm.

Differences between the levels of design factors were declared significant at the p < 0.01 level in both the linear model and regression tree analysis.

A lack of a causative or perfectly linked SNP for pericarp pigmentation would explain why both the linear model and loss-of-function genome scan approaches achieved just Mb resolution for this trait.

Both the linear model and regression tree analyses were based on modeling the genetic merit of pre-bridging germplasm in different scenarios as a function of heritability, genotyping platform, the number of phenotyped seeds per landrace, the number of selected landraces, the number of tested seeds per selected landrace, and the number of phenotyped synthetic seeds.

Both the linear models for microarray analysis (LIMMA) and significance analysis of microarrays (SAM) algorithms were used to identify differentially expressed gene sets from which to build class predictors [ 26- 29].

However, when the combined axial dynamic tension and transverse wave forces are both considered, the linear model underestimates the response because it ignores the coupling effect.

Table 5 shows the gap in VAS and the contribution to the gap by differences in prevalence and severity effects, and the interaction among both, using the linear model and the non-linear one, once the VAS variable has been recoded.

In the both cases, the linear models also performed well and were pretty close to the best model.

In all tracts with significant intervention-driven effects, the linear model outperformed both the quadratic and cubic models.