Sentence examples for model with adequacy from inspiring English sources

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Instead, the approach described in this work combines simplicity of the model with adequacy of fitting the data.

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The sugar and ethanol yields were modeled with good adequacy, showing a positive linear correlation between those yields and refining energy and enzyme loadings.

A close match between experimental results and prediction results reveals that the developed models can be used with adequacy to optimize similar type of diesel engines using n-butanol-diesel blends.

Five criteria are mentioned: the level of rigor that a model describes phenomena; the accuracy of the model with respect to data; the adequacy of the model for the purpose of simulation, optimization or design; the flexibility of a model; and the computational complexity.

Statistical optimization by PBD and CCD-RS Mrevealed high model adequacy with 8.09-fold increase in laccase production.

Each individual had a high probability of belonging to their allocated group, confirming model adequacy, with average posterior probabilities being 0.97 for cluster 1, 0.97 for cluster 2, and 0.97 for cluster 3 among females, and 0.96, 0.97, and 0.96 among males, respectively.

We discuss model adequacy and model comparison of the gold standard (fully Bayesian approach) with the approximate approach.

The confirmatory experiments proved the adequacy of the model with a reasonable accuracy.

The adequacy of the model with the experimental data is shown for various temperatures inside the solar collector and for the water temperatures.

The chosen model is the original two-factor model but, to obtain a good adequacy of the model with the data, we have of to add a link between HAD8-D4 and the anxiety factor as well as a link between HAD7-A4 andepressionon factor; what was expected according to the results of the EFAs.

We also calculated 1) the likelihood ratio χ, which compares the adequacy of a model with covariates fitted to a set of data to that of the null model (without covariates) fitted to the same dataset; and 2) the Akaike information criterion (AIC), which allows for comparisons between models (nested or not); the smaller the value of the statistic, the better the model fits the data (17).

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