Sentence examples for arbitrary errors from inspiring English sources
Contradictory data can exist in a single source dataset in instances where there are systematic errors, arbitrary errors or different value representations [5, 6].
Arbitrary errors such as human errors in tabulating data, or numeric mismatch are some of the examples of contradictory data which ConTra is not designed for.
The WL-MDDR beamformer is designed when the information about the steering vector and noncircularity coefficient of the desired signal is precise, while the WL-QCMD beamformer is robust against arbitrary errors in the steering vector and noncircularity coefficient.
These swap errors are reminiscent of the common transposition or intrusion errors made during serial recall tasks (Burgess and Hitch, 1992; Henson, 1996) in which participants recall stimuli from the wrong lists or positions rather than making arbitrary errors.
This improvement is obtained by using multilinear error-correcting codes over finite fields, rather than the arbitrary error-correcting codes used by Trevisan.
This paper considers two-phase random design linear regression models with arbitrary error densities and where the regression function has a fixed jump at the true change-point.
An arbitrary error ellipsoid is assumed with dimensions [along track, cross track, radial] = [2 km, 2 km, 1 km] for all objects.
Volume removal analysis suggests that, to remove an arbitrary error profile, the tool dwelling-time at the machining area can be designed to be a linear function of the error profile.
Experimental results showed that our algorithm can reduce the run-time communication cost to a minimum and ensure a well-balanced workload among processors when visualizing gigabytes of data with arbitrary error tolerances.
Neither homoscedasticity nor normality nor balanced group sizes are assumed, thus allowing for multiple comparisons in balanced and unbalanced models with arbitrary error distribution and hence arbitrary data distribution and variance structure.
By using an appropriate covariance estimation technique, the method can be used for multiple comparisons in presence of either equal or unequal group variances in balanced or unbalanced designs with arbitrary error distribution.
