Sentence examples for model evaluation procedures from inspiring English sources

Some proposed model evaluation procedures focus on checking the deterministic components (i.e. mean and variance-covariance structure) of a GLMM based on the cumulative sums of residuals, or assess the overall adequacy by means of a goodness-of-fit statistic which can be used in a manner similar to the well-known R criterion [ 25, 26].

One can only be aware of the presence of shrinkage, realise the influence it may have on the covariate analysis and use diagnostics other than those based on individual predictions or individual weighted residuals in the model building and model evaluation procedures.

It is important that, along with stating the objective of the modeling exercise, the model evaluation procedure is also justified up-front.

FJS conceived the review, SSA elaborated the ethical aspects of model building and model evaluation, and REN evaluated the neonatal hippocampal lesion model of schizophrenia along the model evaluation procedure expanded in this article.

The authors perform a model evaluation procedure that includes generalized likelihood uncertainty estimation to quantify uncertainty of the model results.

An operational model evaluation procedure is described to quantitatively assess the relative skill among several regional-scale air quality models simulating various percentiles of the cumulative frequency distribution of observed daily maximum 8-h ozone concentrations.

Our model evaluation procedure is primarily a testbed for selecting an appropriate substitution model for stems, loops and neutrally-evolving sequence (see "Patterns of nucleotide substitution in non-coding RNA").

It furthermore is shown that model performance evaluation procedures that account for the flow residual serial dependency and homoscedasticity are preferred.

While the computations presented in this paper used simple models of evaluation procedures, our results should extend into more complicated evaluation procedures.

Multi-label dataset, model (MMM) and evaluation procedures are shown in blue and single-label dataset, model (SMM) and evaluation steps are shown in green.

The thorough model evaluation and validation procedures applied to the pharmacokinetic model support the conclusions from this study.