Sentence examples for variable models used from inspiring English sources

Single and multiple variable models used combinations of χ2 tests and logistic regression techniques that treated AOF as dependent variable.

Latent variable models used in this context do not directly model the association between longitudinal and survival response, but rather focus on correlated, latent random effects.

Further development of the Bayesian latent variable model used in this study may also allow replications of tasks to separate measurement error and task-specific variance.

In this case, the latent variable model used 70 parameters [(4  latent variables + 1) × 14  traits] for each of the environmental and genetic (co variance structures, whereas the full (co variance matrix has 105 parameters.

Both taxometric procedures (MAMBAC and MAXEIG) and information-theoretic latent variable modeling, using indicators drawn from the SDS, were consistent with the dimensional latent structure of depression.

In this method, each variable was fitted in a univariate (single dependent variable) model using all other available variables in the model as predictors, and missing values were imputed for each variable being fitted.

The null model of rate-constancy is tested against rate-variable models using the Akaike Information Criterion [ 73].

We chose the best model based on the distribution of differences between the AIC scores of all of the rate-constant and rate-variable models using a critical difference in AIC scores of α = 0.05 [ 57].

Our results also suggested that, when the value of q approaches the optimal one, simulation error of the two-variable model using q is very close to that using the optimal q value.

We explore such social and cultural transformations through cross-sectional, ecological associations between longevity and various dependent variables, modeled using linear and logistic regressions while adjusting for gross domestic product (GDP) per capita.

In this paper we deal with the probability and physical consistency of random variables and models used in engineering design.