Sentence examples for output variability from inspiring English sources

In particular, sensitivity analysis can also be used for model calibration, model validation, decision making process, i.e. any process where it is crucial to identify which are the variables that mostly contribute to the output variability.

Uncertainty quantification (UQ) techniques are frequently used to ascertain output variability in systems with parametric uncertainty.

During peak flow (freshet) season, when power output is highest, the output variability is negligible.

A restriction on secure supplies from single renewable energy sources is their output variability.

Otherwise, targeting gross output variability entails a substantial increase in the loss of welfare.

Such issues must be solved to understand how the solar output variability may influence the Earth's environment (helioclimatology).

The development and implementation of stochastic simulation tools is imperative to quantify process output variabilities and develop optimal process designs in composites manufacturing.

In contrast, the investigation of parameter evolution and distributed outputs' variability appeared to be a valuable tool to uncover the interdependencies of data and model uncertainties.

In this analysis, we were interested in which of the controllable variables (PRESS PRESSURE, AUGER SPEED, and DROP TEMPERATURE) were most important in the output variables (ASH, FAT, MOISTURE, and PROTEIN), which is to say, how much variability in those output variables is explained by the controllable variables.

The proposed Sobol′ sensitivity analysis based on surrogate is an effective tool for calculating sensitivity indices, because it shows the relative contribution of the design variables (individuals and interactions) to the output performance variability with a limited number of runs of a computationally expensive simulation model.

In assessing the relative weight of variances, we find that the long-term shocks explain 83% of output's variability, and short-term shocks the remaining 17%%.