Sentence examples for specification of uncertainty from inspiring English sources

Exact(1)

Fuzzy and interval theory models are proposed for describing some uncertainty components and two examples are presented in which a fuzzy specification of uncertainty is considered appropriate, one being the engineering measurement of sphericity and another one being measurement of computer security characteristics.

Similar(59)

Ellipsoidal specifications of uncertainty are common and appear naturally in the context of uncertainty about drift parameters in multivariate Gaussian settings, cf. e.g., Garlappi et al. (2007) or Biagini and Pınar (2017).

Neither the broad spectrum nor any specifications of uncertainties have been communicated.

An important problem in the analysis of computer experiments is the specification of the uncertainty of the prediction according to a meta-model.

Note that the specification of timestamp uncertainty of ±1 day used in our automated procedure is equivalent to the matching prescription used in the Columbia study (see Section 2 of Additional file 1 for details).

Preprocessing routines allow the specification of measurement data uncertainties (e.g. relative or absolute errors) and adding qualitative constraints (e.g. monotonicity).

In sum, media coverage represents neither the broad spectrum nor any specifications of scientific uncertainties.

Both techniques allow to verify that the design is robust enough to meet the system performance specification in case of uncertainties.

Thus, our results confirm previous findings [19] that topological variation may result from alignment uncertainty and extend this conclusion to the case of uncertainty in the specification of an evolutionary model.

Sources of uncertainty in the specification of components of the cost measures are addressed by employing probabilistic sensitivity analyses, where the distributions of the variables representing the analytical assumptions are allowed to vary simultaneously, thus testing the robustness of our findings [ 51].

To efficiently tackle uncertainty, it is necessary to have a comprehensive overview of different types of uncertainty and their specifications.

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