Sentence examples for model which generates from inspiring English sources

If the proportional odds assumption was violated, a generalized logit model (which generates an odds ratio for the comparison between each level and the reference category) was used.

The coefficients presently available in literature and handbooks are based on plug flow and a wall heat transfer model which generates a temperature jump at the wall.

Multiple times a day, new atmospheric data — obtained mostly from weather stations and satellites — is automatically fed into a model, which generates a prediction by applying equations from fluid dynamics, physics and chemistry to data like temperature, wind direction and humidity.

The control system incorporates a reference model, which generates desired reference temperature trajectory, and integral action to respectively diminish overshoots and achieve zero steady state error in closed loop.

Optionally, FALL3D can be coupled with the output of the meteorological processor CALMET, a diagnostic model which generates 3-D time-dependent zero-divergence wind fields from mesoscale forecasts incorporating local terrain effects.

In contrast, microCT scans provide a three-dimensional (3D) model, which generates more accurate and reliable data.

Japan can also look to the Israeli model, which generated a robust venture capital and entrepreneurship sector by encouraging FDI; promoting immigration; reallocating government spending; building private-sector incubators; aligning research institutions, the military and entrepreneurs; and highlighting entrepreneurship in schools across the country.

A fully automatic scale-up workflow is scripted for pattern-scale ICP models, which generates upscaled models that are, in turn, simulated using a proprietary simulator.

In de-novo phylogenetic inference methods, the run-time increases at least log-linearly with the number of homologs or they rely on time-consuming optimizations of parameter-rich phylogenetic models, which generates excessive computational requirements for the analysis of Gb-sized NGS samples.

This is done using specially designed water consumption models which generate data necessary for planning operational activities.

Finally, to avoid the difficulties associated with regression on arbitrarily-sized spatial units, I estimated point process models, which generate statistical inferences by comparing covariate values at the locations of observed events to values measured at randomly simulated control points.