Sentence examples for variance of model from inspiring English sources
p −(n) is prior error covariance and ({sigma ^{2}_{v}}) is the variance of model error.
Finally, the results can explicitly reveal the contributions of model parameters to the total variance of model predictions during the simulation period.
Discrimination has been carried out based on the contribution of the variance of model parameters (stepwise regression) to the total variance explained by the model.
Numerical experiments show that our models consistently yield well-distributed points that, on average, help reducing the variance of model fitting errors.
With this new framework, the variance based global sensitivity analysis for models with correlated variables can be conducted conveniently and the variance contributions of a correlated variable to the variance of model output can be identified and interpreted distinctly.
In order to explore the contributions by correlated input variables to the variance of the polynomial output in general engineering problems, the correlated and uncorrelated contributions by correlated inputs to the variance of model output are derived analytically by taking the quadratic polynomial output without cross term as an illustration.
The diagonal terms of ([text{cov},{mathbf{m}}]) are the variances of model parameters and the off-diagonal terms are the covariances.
Besides, experiments must often be designed for estimation of model parameters and reduction of variances of model predictions (or parameter estimates).
Total refers to the total number of irredundant probes and genes, with means and variances of models for each endpoint be listed in Mean (Variance).
Explained variances of models for radiographic progression and disease activity were low (0.28 and 0.34, respectively), and the biomarkers only marginally improved the explained variance.
The phenotypic variance explained by the top SNP was calculated with the R software as (Vreduce − Vfull)/Vphe, where Vfull and Vreduce are the residual variances of models with and without the SNP effect and Vphe is the phenotypic variance.
