Sentence examples for residual degrees from inspiring English sources

A strong feature of the approach is the possibility to use residual degrees of freedom to overcome singularities.

SSM represents the square of the correlation between response and predicted response values, where ASSM depends on the adjusted residual degrees of freedom.

The null deviance = 460.49, the degrees of freedom for the null model = 390, the residual deviance = 175.71, and the residual degrees of freedom = 381.

When the residual degrees of freedom from using a homogeneous design are large and, to a lesser extent, the number of attributes and attribute levels are small, the efficiency losses are negligible and the use of a homogeneous design can be justified.

A dispersion parameter was estimated by the deviance method, because the data were over-dispersed; initial model fitting with a dispersion parameter of 1 (for binomial and poisson error structures) yielded residual deviance much larger than the residual degrees of freedom.

The denominator degrees of freedom was computed with the DDFM  =  BETWITHIN option in SAS, a method which divides the residual degrees of freedom into between-subject and within-subject portions; this method is recommended for large data sets with unbalanced data.

In this Letter, we propose a mixed degree decomposition (MDD) procedure in which both the residual degree and the exhausted degree are considered.

Results show that the air-entry suction and the residual degree of saturation of the tested soil are 106 kPa and 8%, respectively.

It also showed the residual, degree of freedom, and mean square and F value for the various combinations of the interaction effects, leading to the development of the model.

The vegetable oil polyols, which have been prepared from vegetable oils with different fatty acid compositions (peanut, corn, soybean, and linseed oil), range in residual degree of unsaturation from 0.4 to 3.5 carbon carbon double bonds per triglyceride molecule.

It estimates the residual degree of similarity between nurses within units where the sources of that similarity remains unknown.