Finally, random chart reviews are not well suited to measuring incidence rates of diagnostic error because the rate of error is low, thus requiring a large number of reviews.
Because of the presence of systematic errors, error rates can be difficult to judge, and tend to be under-estimated by researchers [23].
In traditional error-state based inertial navigation system (e.g., Rogers 2003; Bekir 2007), the variance component estimation for the IMU measurements is difficult because the error measurement vector blends the errors from an inertial sensor and other aiding sensors.
As the prediction time leap t d increases, the distribution of errors starts to flatten out, because the error increases.
Exposure categorization, when done in an optimal way, is usually associated with less underestimation but a more considerable reduction of the power of a study to detect an association because the error has a Berkson error structure (Armstrong 1998; Tielemans et al. 1998).
He said large numbers of passport applications failed each year because of errors – errors that his team will spot, saving his customers time.
Because the consequences of error are very asymmetric.
The process of performing cost-sensitive subset evaluation is a very effective method because the error-based methods consider the classification errors as equally likely, which is not the case in all the real-time applications [55, 56].
The response-error bias may be severe because the errors are cumulative in longitudinal data and lead to an overestimation of flows.
Thus, volatility models should not be considered under the general normality assumption for errors, because if the errors are not thus, then volatility forecasting based on such models will be misleading.
The inspiration is to adopt list-decoding of subspace codes for error correction because the ratio of propagated error will be not 100% in random network coding in the sense of subspace distance.
