Sentence examples for underlying score from inspiring English sources

Next, we modify the underlying score calculation in a consistent way and analyze the resulting effect on the (ordinal) ranks, (cardinal) scores and the composition of the top performing groups of researchers.

This assumption of a continuous underlying score is ubiquitous in psychological measurement and motivates the standard definition of a percentile rank (formula 1).

When n = 2, given an underlying score distribution under H0, there is only one type of standardized score function definition, i.e. regardless of the instantiation of the unstandardized scores, s1 and s2, one ends up with the same standardized function.

We perform power calculations for various settings and present them through ROC-curves, i.e. as plots with significance levels versus power with respect to a set of underlying score thresholds (Selin, 1965; Bradley, 1996).

The underlying scoring scheme is based on the identification of predefined structural fragments in the respective modes of the VMRs.

The main difference between DIALIGN and more traditional alignment approaches is the underlying scoring scheme or objective function.

First, since our underlying scoring measure is based on counting matches between nucleotides, it is important to see how well it performs in compositionally biased backgrounds.

To evaluate scaling assumptions underlying scoring of the SF-36 scales, item variability, item-internal consistency and item discriminant validity were assessed.

However, Lucene still outperforms this metric and we speculate that this can be explained by the fundamental difference between the underlying scoring functions.

For all hairpin sequences from an input sequence, a miRNA likelihood score L is calculated, given an underlying scoring model based on descriptors of the physical and sequence characteristics of miRNAs (Table 1; [see Additional file 1]).

It does not guarantee its "correctness", and the same holds, of course, for score-optimal results: Even if one could show that a certain alignment has optimal score, that would not imply that it is also biologically correct since the underlying scoring function may assign optimal numerical scores to biologically wrong alignments.