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This result suggests that, to expand knowledge about the inequality issue in the Italian educational system, it is even more important to assess above and beyond the mean estimates-where and how the involved variables are effectively related with students performances.
Where mean estimates were reported, we used the estimate of the mean across the 5 imputed datasets.
Our results for PM2.5 showed a greater decrease of the PEFR, −0.54 L/min for 1 μg/m, than reports from other panel studies in children where mean estimates ranged from −0.05 to −0.28 L/min for 1 μg/m of PM2.5 (Ward and Ayres 2004).
This exception is consistent with the Ne estimates where Italy mean estimates are highest (compared with Spain and Turkey; Table 3), though the confidence limits are broad and overlapping.
Individuals are not weighted, but the maximum likelihood estimate is a weighted mean of the stratum-specific estimates: where provided that there is at least one death among the unexposed and one death among the exposed within each stratum.
Examination of differences in the mean estimates for each element specifies where the differences in total costs occur.
The methodology is a low-cost one meant to generate reliable cost estimates where a certain amount of precision is traded off against the cost of collecting data.
Our results showed a difference in the region-specific estimates, where the weighted mean prevalence (WMP) ranges from 2.53 to 4.25.
We performed meta-analysis for maximally adjusted estimates where available, which did not significantly alter previously calculated mean differences.
The mean estimates for this year: $2.57.
If we substitute the linear minimum mean-square-error (LMMSE) estimate, where and are cross-covariance and covariance matrices respectively, into (A.10) and (A.12), we obtain.
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CEO of Professional Science Editing for Scientists @ prosciediting.com