Sentence examples for weighted for each from inspiring English sources

When measured in a basket of local currencies, weighted for each region's share of the global IT market, Andrew Bartels of Forrester expects an increase of 3%.There are many reasons why spending is more robust than during the last downturn.

The interdependencies were identified and weighted for each strategy by the experts.

As anyone who takes a close look discovers, advanced manufacturing scores over advanced services not only in providing a wider range of jobs, but delivering higher wages (weighted for each worker's innate capabilities) and more exports.

Each case was repeated three times with this polydisperse material (Mg = Mc = Mf = 1.0 kg), and the second part of the deposit were weighted for each time (Figure 12).

For candidate verification, the normalized decisions c i,k of each characteristic i are weighted for each candidate k according to its significance and compared to a threshold: frac{1}{3}c_{1,k} + frac{2}{9}c_{2,k} + frac{4}{9}c_{3,k} > frac{7}{9}.

The dry eye lens was weighted for each specimen and used as age estimator [14].

These were then weighted for the share each territory has of global offshore financial services to produce a ranking of most problematic havens.

First we estimated the treatment effect (log odds ratio) and the variances in this effect for each comparison weighted for variance within the study and between studies.

Early rate requests have come in from insurers in five states, according to ace ACA-tracker Charles Gaba, who calculates the weighted average rate request increase in those states at about 30% (that is, weighted for the enrollment of each insurer).

The ombudsman said the most complained-about financial institution in the second half of 2013 was Lloyds TSB, followed by Bank of Scotland, Barclays, MBNA and HSBC, though it said the ranking was not weighted for the number of customers each company has.

This index records the presence or absence of 18 health problems, each one weighted for severity according to predefined values.