Sentence examples for estimates represented by from inspiring English sources

Exact(2)

Uncertainties in the new hypoxic extent estimates, represented by the 95% confidence intervals, reflect the limited spatial scope and resolution of shelfwide cruise sampling.

The inclusion of negative estimates had little overall effect on these values, as they were exceedingly rare (19 negative values from a total of 114 000 estimates represented by data, given in the Appendices A and B).

Similar(57)

Furthermore, if only a single haplotype was considered for each of the co-aligning contigs anchored to the sequence, then the overall genome size estimate represented by the map showed almost no expansion.

By imposing this constraint, totally inconsistent with the actual, very significant time-dependent effect of albumin, the Cox's PH estimate, represented by a thick black line in Figure 3, suggested decreasing albumin had only a very weak effect on increased mortality hazard.

Figure  4 provides the results for each state, sorted from highest to lowest predicted impacts, using MetaDataViewer available from the National Toxicology Program [ 48] for the best estimate represented by the expert elicitation slope (the remaining results are proportional based on the results presented in Table  6; results not shown graphically).

The precision of the person ability estimates was represented by the expected a posteriori (EAP) estimation of 0.71, which showed, as expected, a good match with Cronbach's alpha.

The logit estimates are represented by the log odds ratios.

The estimates are represented by the log odds ratios.

These estimates are represented by the area between the partitioned curves.

Uncertainty around these estimates is represented by cost-effectiveness acceptability curves, which show the probability that one of the three screening combinations/options is cost-effective compared to a maximum willingness to pay that decision makers might have for these health outcomes, 2 and 3 (for the BRCA1 and BRCA2 groups only)).

The optimal estimate is represented by probability density functions, which enable an online, probabilistic data fusion as well as a Bayesian measurement uncertainty evaluation corresponding to the "Guide to the expression of uncertainty in measurement".

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