Sentence examples for fair estimation from inspiring English sources
Fair estimation of the generalization performance.
The standard deviation of five replicates was <2 in all experiments, which indicates a fair estimation.
Finally the selected calculation method has to be able to provide a fair estimation of the cell radius.
The results show a great improvement of the wavenumber estimation in the whole frequency range compared with the plane wave beamforming method and a fair estimation of the decay rate.
Therefore, to have a fair estimation for all candidates P, we introduce the weights Δ(P), which are calibrated in a scenario with white Gaussian noise, where the number of sources d varies.
Since Poissonian errors underestimate the actual errors, and bootstrap errors are known to overestimate them, the ensemble errors in our case may give a fair estimation of the actual values.
This timespan was selected, since within this period sufficiently fair estimations can be done concerning the evolution of the traffic flows.
In addition, by virtue of this ascertainment, it has turned out that representative parts of those flow configurations can be specified uniquely by a single parameter, just like that in the stagnation flowfield, called the velocity gradient, with further allowing us fair estimations of the combustion rates at the representative positions in those flows.
Previous studies show that the essential spatiotemporal characteristics of overground walking can be obtained by trunk accelerometry; individual step or stride cycles can be identified, and fair estimations of step length and walking speed can be obtained using a single triaxial accelerometer [ 22].
In Vanity Fair's estimation, this Oscar-winning actress is "friendly and direct and so unpretentious".
In light of our discussion of Bhat and Ryan's study, we argue that future research should aim to extend our understanding of the fair value estimation process and the factors that explain variation in the reliability of fair values as well as the channels through which investors learn about fair value measurement reliability.
