Sentence examples for sources of model from inspiring English sources

Several criteria of testing/analysis correlation are introduced, and the sources of model and testing uncertainties are also discussed.

It is therefore important that efforts be directed at identifying, quantifying, and communicating the different sources of model uncertainties.

The various models, their inputs, parameters, and outputs, experimental data, and various sources of model error are connected through a Bayesian network.

This paper proposes a new robust CEDO model for Bayesian calibration with field response and incorporates various sources of model uncertainty such as surrogate model uncertainty, numerical discretization error, and model discrepancy, into CEDO.

First, we extend a model proposed in the literature for the detection of invasive species to suit our purpose, and we discuss the main sources of model uncertainty, many of which are hard to quantify.

The HBMA is an ensemble method for prediction and is used to segregate the sources of model structure uncertainty in ANNs and investigate their variance contributions to total prediction variance.

Moreover, disregarding of the pour-ribs was identified as a source of model uncertainty in previous studies.

Structural uncertainty is an important source of model predictive errors, but few studies have been conducted on the error-transitivity from model structure to nonpoint source (NPS) prediction.

Explicitly, we assume that the selection of K*− → KSπ− is the same in both experiments (so that κ, rs and δs are the same), and drop the additional source of model uncertainty assigned by Belle due to possible nonresonant decays.

First, the stochastic variable that is responsible for the communication status of lossy network is regarded as a source of model uncertainty.

This study also suggests, however, that parameters which cannot be calibrated based on empirical data will continue to be a major source of model uncertainty.