Sentence examples for of uncertain quantities from inspiring English sources
The capabilities of the approaches selected are addressed in view of realistic modeling and processing of uncertain quantities in engineering.
This paper systematically compares three diverse approaches for risk analysis under deep uncertainty (qualitative uncertainty factors, probability bounds, and robust decision making) in terms of their representation of uncertain quantities, analytical output, and implications for risk management.
We find that the implications for decision making are not necessarily consistent between approaches, and that differences in the representation of uncertain quantities and analytical output suggest contexts in which each method may be most appropriate.
Idempotency means that an operation on uncertain quantities yields the same uncertainty.
The data used for the identification consist of measurements of several realizations of the uncertain quantities that must be characterized.
We adopt the Bayesian inferential machinery due to its firm theoretical basis and its capability of handling uncertain quantities; such as unobserved model parameters, missing marker data, and even different putative genetic models, probabilistically within a single framework.
On top of these quantities, some members of these households (usually, a minority) ate breakfast, which would not include any meat, but would likely include another of beer; and uncertain quantities of bread and ale could have been consumed in between meals.
In America's eyes, China is more of an uncertain quantity than it was, while once-authoritarian Taiwan has changed into a flourishing democracy.
Some other analysts, faced with two estimates of an uncertain quantity, have chosen to represent the uncertainty with uniform distributions with limits defined by the two points.
For each submodel, parameters are considered as uncertain quantities making good use of the Bayesian inference framework.
This criticism imputes inappropriateness in representing uncertain quantities and an absence of numerically efficient algorithms to solve industry-sized problems.
