Sentence examples for model process uncertainty from inspiring English sources

State-space models allow us to capture an animal's movement behaviour as well as model the two types of stochasticity that are typical of observed movement pathways: (i) stochastic deviations from a deterministic movement model (process uncertainty), and (ii) stochastic deviations from an animal's true location (observation error).

This paper addresses multicriteria optimization that accounts for model and process uncertainty at the design stage.

On the other hand, these models inherently process uncertainty or vagueness.

To overcome the shortcomings of the traditional FMEA and better model and process uncertainties, we propose a FMEA model based on a novel fuzzy evidential method.

When data are available to allow for exercises like those described here, they can be used to assess model performance; descriptive analyses of the process taken to do so can contribute to a dialogue about different approaches that are taken by analysts to assess model process and model structure uncertainty.

The case study incorporates real life design variable tolerance and model sensitivity and process uncertainties.

Further, model as well as process uncertainties can be addressed systematically.

Although promising, these approaches are often hampered by the large amounts of input data required, as well as fundamental uncertainties in model processes such as market elasticities and local land management practices.

The observer exhibits also robustness to process uncertainties since no model of the reaction is used for its design.

By estimating the calibration constant as part of the model-fitting process, the uncertainty around bias in ANC prevalence estimates is now reflected in the uncertainty intervals.

The PRV, which is used for fault detection purpose, is designed to be insensitive to process uncertainties, including model plant mismatch (MPM) and process disturbances.