Sentence examples for off selection from inspiring English sources

Exact(3)

At Barcelona he was the "13th man" – one spot off selection for the final team.

At a meeting here on June 17, the party's national executive committee voted 21 to 19 to put off selection of a replacement for John N. Turner as party leader until next June.

No potential contaminating Symbiodinium clade B1 proteins were identified despite using a BLAST search with a stringent e-value cut off selection criterion of 1.0e−20.

Similar(57)

The class prediction results are summarised in Table 1 with the number of (statistically significant, P<0.05, following P-value cut-off selection) peaks selected for the class prediction model indicated for each test performed.

Wycherley, 26, went to the 2011 World Championships instead of a struggling Brabants after beating the latter in a one-off selection race last summer.

Shapiro et al. (2002) indicate several factor coefficient loading cut-offs.12 Heuristics suggest that loadings higher than 0.30 are salient, and that cut-off selection between 0.30 and 0.60 (Bagozzi and Yi 1998; Swisher et al. 2004) is representative of factor analysis in empirical social science literature.

They're furthering a misguided yet widely held notion that women who DJ are a novelty, a penned-off selection in an industry swamped with men, and we should write the whole concept off.

In addition, the t-statistic was considered; however, this method did not require any cut-off selection.

However, our criteria for cut-off selection attributed equal weights to sensitivity and specificity and did not consider the disease prevalence and the cost of misclassifications.

As an alternative approach for cut-off selection, the misclassification-cost term (MCT) can be calculated for each point of the ROC curve.

For cut-off selection using the misclassification-cost term (MCT), the point with the smallest MCT value [MCT = (CFN/CFP) P (1−Se)+(1−P) (1−Sp)] was chosen, with CFN and CFP being the cost of false negative and false positive diagnosis, respectively and P being the disease prevalence in the target population [30].

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