Sentence examples for evaluate assumptions from inspiring English sources

Over a seven-year period, we monitored along a theory of change to evaluate assumptions about the causal linkages between intermediate results and biological outcomes.

In this study, we compare dispersive modeling and sand-tank experiments to the results of sharp-interface models to evaluate assumptions regarding vertical fluxes in coastal multi-aquifer systems.

In this paper, an idealized, high-resolution simulation of a gradually forced transition from shallow, nonprecipitating to deep, precipitating cumulus convection is described; how the cloud and transport statistics evolve as the convection deepens is explored; and the collected statistics are used to evaluate assumptions in current cumulus schemes.

We develop and trial a study design and analytical approach to evaluate the suitability of using stable isotopes to trace emigrating prawns to putative nursery sites, and evaluate assumptions inherent in the application of the approach using two penaeid species with Type-II life cycles: Penaeus (Melicertus) plebejus and Metapenaeus macleayi.

Preliminary analyses were carried out to evaluate assumptions for the t test.

Despite decades of theoretical development of brightness models, it has been challenging to empirically evaluate assumptions underlying the models.

Geographical considerations might be applicable to evaluate assumption 3. The majority of the analyzed patients from [ 6] were most likely ventilated in BIPAP with a normal inspiratory:expiratory ratio.

The runaway success of Fifty Shades had forced the entire publishing industry to re-evaluate assumptions of what makes books sell".For years, centuries even, the publishing industry and literary world's definition of good was the only one that mattered.

Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

After evaluating assumptions of linearity, normality, and equal variances, we simultaneously included the three amalgam exposure measures that were most strongly correlated with the U-Hg measure in a repeated-measures regression model.

Bayes rule, k-nearest neighbour method, logistic regression, score systems and artificial neural networks were examined and their performances compared, considering essential issues in model development and evaluating assumptions and adequacy.