On their own, machine vision algorithms may lead to misleading or erroneous interpretations because of inaccurate object segmentation, image registration, and other sources of error.
We have observed in our simulations that a candidate area may be erroneous solely because of a single misplaced hyperbolic area, which results in either a wrong location or an empty candidate area.
Two non-parametric statistics are shown to be somewhat insensitive to misalignment errors, providing increased confidence in contact prediction when analyzing alignments with erroneous regions because of an emphasis on they emphasize pairwise covariation over group covariation.
However, in other cases, pedigree information has been erroneous, either because of missing parent information, resulting in gaps in the pedigree, or because of wrong parent information resulting in misidentified parents.
Such a conclusion made by the authors appears clearly erroneous because abuse by the experts of rights and legitimate interests of citizens including trial participants, of course, may be a subject for a separate appeal.
But surely it is a logical fallacy to brand a religious practice as 100-percent erroneous because it has been warped at the hands of fanatics.
But such an observation would be erroneous, because the humble 19-year-old's reply betrays no egotistical superiority, merely the self-assurance of someone playing without fear.
Unfortunately, Botallo's discovery was erroneous, because what he saw in the few samples he examined was in fact the anomalous persistence of a fetal structure.
If we focus on what we can't control, we erroneously create feelings of helplessness--erroneous because we are blaming ourselves for failing at something that was never in our power to begin with, and in so doing, we undervalue or even ignore the aspects of the situation which we handled well when the ball was in our court.
In cases like this, linear regression can lead to erroneous conclusions, because the assumption of independence of observations is violated (i.e., 100 students in the same class are not 100 independent data points; Kreft and de Leeuw, 2002).
