Sentence examples for models using variances from inspiring English sources

T-tests (planned comparisons based on nested ANOVAs) were calculated for the additive and multiplicative models using variances for the difference and ratio of two independent random variables, respectively.

"Data Augmentation for Non-Gaussian Regression Models Using Variance-Mean Mixtures". Nicholas G. Polson and J. G. Scott; Biometrika, 2013, 100(2), pp. 459-71.

For both the GRAMMAR and FASTA methods, the final models use variance components that are estimated with the same simple random model.

We estimated null and random intercept models by using variance component as the covariance structure and maximum likelihood.

Recent work has shown that it is possible to establish asymptotically valid confidence intervals for a quantile of the output of a model simulated using variance reduction techniques (VRTs).

The only case of substantial collinearity found when testing the models using the variance inflation factor (VIF) was between the variables for mother and father viewing TV advertisements.

The relation between the independent variables and excess body weight (0-absence; 1-presence) was tested with univariate and multivariate Poisson regression models, using robust variance and stepwise forward strategy (multivariate model).

Data were pooled where studies were considered to be clinically and statistically homogeneous, and pooled effect sizes (RR, OR, MD) and 95% CIs were calculated using both fixed-effect and random-effects models using inverse variance or Mantel-Haenszel methods.

Data was collected from 497 respondents and the empirical model was tested using variance based Structural Equation Modelling and Finite Mixture modelling.

Studentized residuals from linear models using weekly temperature variances to predict BP measures showed that the temperature variances should be log-transformed to achieve linearity and residual homogeneity.

Our results confirmed that the BLUP models, using SNP-specific variances, yielded GEBV that were very similar to those with the Bayesian models, even if the SNP-specific variances were estimated from a non-random subset of the data.