Given a set of quality measures φ k,l), the MOS over a set of test videos Θ k are predicted using linear combinations where Θ k = θ ^ 0 + ∑ l = 1 L φ k, l θ ^ l, (27).
Regression analysis indicates that the Dc by rill flow can be predicted using the linear equations of flow velocity, stream power, unit stream power, and unit energy.
Peptide binding affinities were predicted using a linear combination of the hydrophobic, entropic, and electrostatic components of the interaction free energy with optimized weights.
The half-life of dioxins in the body can be predicted using a linear relationship with age adjusted for body fat, smoking, and breast-feeding.
To assess the overall effect of covariates in the model, the relative transmission risk was predicted using the linear model with all parameters set at the median (covariates) or modal (factors) value.
In short, atmospheric NO2 surface concentrations were predicted using multivariable linear regression based on land-use characteristics (impervious surfaces, tree canopy, sum of road lengths, elevation, and distance to coast) and tropospheric NO2 column abundance measurements from the Aura satellite's ozone monitoring instrument (Novotny et al. 2011) (cross-validated R = 0.78).
Finally, the effects on student writing achievement of the relative presence of these practices in all observed classes were predicted using a hierarchical linear model.
Functional protein domains were predicted using the Eukaryotic Linear Motif resource.
The functions of the alternatively spliced regions were predicted using the Eukaryotic Linear Motif resource.
Secondly, the level of cost conditional on having positive costs was predicted using a generalized linear regression model (GLM), applying a log link function and assuming an inverse Gaussian distribution.
