Sentence examples for distributions of coefficients from inspiring English sources

This way, the analyst will be able to limit the number of explanatory variables to the ones whose distributions of coefficients offer behavioural interpretations about taste variation, and leave the imposition of the desired substitution pattern to the GEV core.

A uniform random distribution of coefficients was selected from 0.6 to 2.0 for each coefficient.

The analysis of the image sequences provides a uniform distribution of coefficients of restitution with a mean value of ε¯= 0.45 and values ranging from ε= 0.06 to 0.84.

The hypothesis test that we adopt is based on the generalized Gaussian distribution of coefficients, whereas the Poisson noise or real noise may not meet this assumption.

As shown in Supplementary Figure 9 in the Supporting Information, the coefficient of determination cutoff value was chosen by fitting a Pareto distribution to the distribution of coefficients of determination and setting the cutoff to the 99th percentile (0.85).

Due to the absence of parametric testing for the PLS-DA coefficients, the evaluation for significance is performed using permutation testing, in which the distribution of coefficients under the null hypothesis is generated via resampling of the existing data.

To do this we compared the observed logistic regression coefficient for each voxel to a permutation distribution of coefficients estimated by fitting the same logistic regression model after randomly permuting the assignment of degrees to regional nodes 10 000 times.

An L1 -penalized regression algorithm is equivalent to linear regression with a Laplace prior distribution of coefficients, and in theory a Bayesian method invoking a prior distribution better matching the unknown true distribution of nonzero coefficients should outperform the lasso in effect estimation.

Under the same conditions as those in Figure 3, Figure 5 shows the distribution of coefficient g in the dictionary domain.

R-side, or marginal, random-effects models estimated using GLIMMIX provide conditional coefficient estimates for each individual, that is, estimates for individual animals that are conditional on the distribution of coefficient estimates across all individuals in the population.

The appropriate prior on the distribution of coefficient magnitudes is often discussed [ 19].