Sentence examples for evaluating assumptions from inspiring English sources

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.

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.

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

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.

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

In order to make sense of the inherent complexity of the landscape system, we used a spatially-explicit hypothesis-driven approach to evaluate assumptions of species response to threats, environmental factors and management interventions.

Despite the need for laboratory experiments that evaluate assumptions about stable isotope ecology, few such experiments have been performed on ectothermic terrestrial vertebrates.

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.

However, testing proved this assumption was not valid, thus highlighting the importance of evaluating any assumptions of similarity imposed across studies.