Sentence examples for error differential from inspiring English sources

Exact(6)

López won eight more points than Murray in the match (162 to 154) and had a better winner-to-unforced error differential (plus 13 to plus 5), but was ultimately undone by costly unforced errors in the crucial stages of the three tiebreakers.

Singh (1994) derived the error differential equation for judging the accuracy of kinematic and diffusive approximations.

Although enrichment-based quantification eliminated several major sources of systematic error, differential T1 relaxation and other isotope-related phenomena prevented accurate quantification from the uncalibrated ITOCSY signals.

The factor (m - 1) includes the cumulative effect of such sources of additional variability as experimental error, differential variability in processing of individuals, and other sources.

In the context of systematic error, differential reporting of dietary intake and physical activity by weight gain status could distort the interrelation among socioeconomic position, potential mediators and weight gain.

For large-scale protein profiling, Sun et al. [ 14] provides an integrative model for Liquid Chromatography coupled Mass Spectrometry, and apply it to the systematic analysis of key factors that impact the number of identified peptides and quantified proteins, protein quantification error, differential expression results, and classification performance.

Similar(54)

Her winners-to-unforced-errors differential was also better — a plus-12 to Williams's plus-1.

Murray now has managed to establish a a positive winners-to-unforced errors differential, hitting 15 winners to 14 unforced errors.

With this process, multiple, unstructured, and individual handoffs occur in parallel between providers, which may lead to communication errors, differential information sharing, content variability, care delays, and inefficiency.

Both players had negative winners-to-unforced-errors differentials in each of the previous three sets, but Djokovic has inched into positive territory in the fourth with seven winners and five unforced errors.

The proposed adaptive controller and parameter estimator employ coupling control by feeding back position errors and differential position errors, and have been realized to guarantee asymptotic convergence to zero of both position and synchronization errors.

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