Sentence examples for bias can be explained from inspiring English sources

The variety of electron mobility according to the gate bias can be explained as follows.

More technically, model selection bias can be explained with the lacking independence of the validation objects from the model selection process [11],[11],[11],[11].

The observed reduction of contact emission and increase of QD emission in low bias can be explained by the reduction of holes recombining in GaAs contact layer due to the efficient capture into the QDs [8, 9]. Figure 3 Typical PL spectrum obtained and voltage dependence of PL intensity.

In principle, such a bias can be explained in our Bayesian framework by claiming that the prior distribution that the subjects use in their Bayesian computation is biased in favor of small magnitudes, as was observed for speed perception [18].

The strand bias can be explained by DNA replication.

This bias can be explained if many of the assessed regions are subject to allelic methylation that is influenced by the sequence differences between the two alleles.

CHIMERE has a large positive bias, which can be explained by a systematic bias in boundary conditions.

The loss tangent as a function of bias field can be explained by the fact that high bias field leads to higher leakage, which causes a higher dielectric loss.

The results described under Model Comparison above show that a typical post-decision wagering measure – Type II hit rate – is subject to a bias that can be explained by loss aversion, despite the underlying Type I sensitivity to the stimulus remaining constant.

However, there is one instance (figure 4) where they clearly differ with regard to absolute bias; which can be explained by the Peters' method profiting from avoiding the structural correlation problem between outcome and standard error by using a function of sample size as the predictor variable.

The multilevel testlet model perform the best when the item difficulty is low and medium with small average bias (−0.02 and −0.04), and perform the worst when the item difficulty is high with large average bias (0.92), which can be explained by the sparse cells due to high difficulty, resulting in extreme solutions.