Sentence examples for models when determined from inspiring English sources

Exact(1)

These distribution models when determined from limited samples of data also have uncertainties, referred to as epistemic uncertainties.

Similar(59)

Toxicity testing requires the use of rodent as well as non-rodent models for extrapolation to the human model when determining risk and safety.

The key idea is to impose the SGS dissipation of the eddy viscosity model as a constraint on the non-eddy viscosity model when determining the coefficients in the non-eddy viscosity model.

Recently published results on screening for prostate cancer highlight a potential benefit from early stage modeling when determining the net benefits to patients and society [ 36].

It is important to note that Maloszewski and Zuber (1996) indicate that the dispersion parameter in the DM may have little connection to actual dispersivities measured at the field scale and more generally controls the distribution of transit times in the model, particularly when determined from inverse calibration of the DM to tracer data.

Since student intake of each type of sugar-sweetened beverage and fruits and vegetables were positively skewed, they were square-root transformed in all mixed model analyses when determining statistical significance.

The deviation of preclinical dosimetry results from clinical study results suggests a systematic underestimation of the effective dose in humans below 50%% when determined using animal models.

The geometric component is controllable and the functional model can be designed when determining how to conduct indoor mapping.

But buyers are now looking to the future, building models of anticipated cash flow when determining how much to bid.

These tools are efficient when determining optical channel models, since they provide visual understanding and enable the practical modeling of simulation environments.

When determining the model for each response, a regression analysis is performed on the basis of a partial model containing only the terms which are statistically significant at a 0.05 level of significance.

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