Sentence examples for selection of regression from inspiring English sources

Note that UCS data are generally not available when the use or selection of regression model is needed.

A succinct summary of the parameters associated with each independent variable is presented in Table 3, along with a small selection of regression diagnostics.

A comprehensive evaluation and comparison of these methods can be found in [ 19– 21] for classifier selection and in [ 22] for the selection of regression models.

Fortunately, the Quasi-likelihood under the Independence model Criterion (QIC) statistic proposed by Pan [ 41] is analogous to the AIC statistic and can be used to compare GEE models for the selection of regression models and working correlations.

Multivariate linear regression, random forest, and a stepwise selection of linear regression methods were applied: metabolites were chosen if they both were significant in linear regression for every single metabolite, adjusting for BMI and also for the top 30 most important variables in random forest method, in which both the 131 metabolites and BMI were severed as variables.

We performed forward selection of logistic regression models, selecting the best model that was subsequently assessed for discrimination and calibration, validated, and converted into a clinical diagnostic chart to benchmark the boundaries of detection from a cohort of 30 patients considered to have LVNC.

Indeed, it is well known, in the statistical analysis field, that selection of a regression model and its parameters depends on characteristics of observed data and the estimate error bound.

The selection of the regression order depends on (a) the quality of the channel estimates on the pilot tones, i.e., the SNR and (b) the channel variability, i.e., the delay spread τ rms.

SUR is a variant of least-squares model fitting, which allows the covariance in the errors to influence the selection of the regression coefficients.

Our selection of Poisson regression models as the final models was based on the goodness-of-fit of the models assessed by the Akaike Information Criterion AICC) and residual diagnostics plots [ 32].

Thus, current results indicate an incipient saturation of detector response, and the selection of a regression model for individual concentration regimes in correspondence to experimentally measured peak areas seems most advantageous.