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These models provide estimated breeding values for both purebred and crossbred performances, and can use pedigree-based or marker-based relationships, or combined relationships based on both pedigree and marker information.
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This model provides estimated dissociation constants for compounds in water samples based on fractionation extraction and relative quantification.
The model provides estimated breeding values for purebred (mating with own breed) and crossbred (mating with the other breed) performances that are different but correlated.
The results of the different models provide estimates about the amount of deep gas flux, the in situ production and the groundwater residence time of the considered sites.
Gap acceptance models provide estimates of entry capacity based on constant values of the critical headway and follow-up headway which, in turn, represent average values for all observed drivers.
These probabilistic models provide estimates for the variance and credibility interval for each transcript and generate more accurate estimates of low levels of gene expression on benchmark datasets when compared with other stochastic models (Text S1).
These models provide estimates for any geolocation in the conterminous United States by monthly intervals.
24 Logistic regression models provide estimates of survival at specified "cut-off points".
All three models provide estimates of ancestral population sizes and divergence times.
The two-pollutant models provide estimates of the independent effects of CO, NO2, SO2, PM10, and O3 on stillbirth while controlling for the second pollutant in the model.
These models, like the more empirical models, provide estimates of common PK parameters, e.g., clearance, volume of distribution, and effective half-life.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com